Explore the capabilities and considerations for Small Language Models (SLMs). Whether you’re using out-of-the-box SLMs or customizing/fine-tuning them with your own data, we’ll cover practical considerations and best practices. Enhance your language processing capabilities with SLMs!

Chapters:
00:00 - Introduction
01:12 - SLM
02:47 - Advantages of SLMs
03:24 - Local Models
03:54 - Architecture
04:37 - Demo
07:12 - Getting started

✔️Resources:
https://aka.ms/azuresql-slm

📌 Let's connect:
Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter - AzureSQL, https://aka.ms/azuresqltw

🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt

🔔 Subscribe to our channels for even more SQL tips:
Microsoft Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt

#AzureSQL #SQL #LearnSQL

What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book 📖 Engineering Deep Learning Systems 📖

This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.

📚📚📚
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
📚📚📚

About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you’ll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You’ll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.

Get the top " Java Interview Questions And Answers " to ace your job interview and excel your career as a Java Developer. Let's begin!
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=JavaIQS--rw8iIsAF5I&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Caltech Coding Bootcamp(US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=JavaIQS--rw8iIsAF5I&utm_medium=DescriptionFirstFold&utm_source=youtube

This video is based on the most frequently asked Java Interview Questions and Answers. This video explains all the corporate level Java Interview Questions and Answers in detail to help beginners in a theoretical way for a better learning experience. This video includes the following.

Boost your career with Simplilearn's Full Stack Java Developer Job Guarantee Program by learning a complete suite of software development skills, including front-end, middleware, and back-end Java web developer technologies. Become job-ready with HIRIST and HackerEarth, and get a guaranteed job with an average pay of 9 LPA.
Learn from the best and get placed in a top role by investing in yourself, risk-free - a Simplilearn promise.

✅ Job Guarantee
✅ Salary hikes: 90% - 260% averages
✅ Placements with top companies

🔥 Explore the course : https://www.simplilearn.com/java-full-stack-developer-certification-training-course?utm_campaign=JavaIQS--rw8iIsAF5I&utm_medium=DescriptionFirstFold&utm_source=youtube

*Disclaimer: Valid only for Simplilearn Job Guarantee Programs. Please read the applicable Frequently Asked Questions (FAQs) and Terms and Conditions (T&Cs) carefully prior to enrolment. Past record is no guarantee of future prospect

Below topics are covered in this Java interview questions video:
00:00 Introduction
00:45 Beginner Level
18:38 Intermediate Level
33:55 Advanced Level

🔥Enrol for FREE Java Programming course & Get your Completion Certificate: https://www.simplilearn.com/learn-java-basics-skillup?utm_campaign=JavaIQS--rw8iIsAF5I&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Java Programming training videos: https://bit.ly/31erBEK

#JavaInterviewQuestionAndAnswers #JavaProgrammingInteriewQuestionsAndAnswers #JavaInterviewQuestions #Java #JavaDeveloperInteriew #JavaProgrammingForBeginners #Simplilearn

Below are some of the Java interview questions answered in the video:
0:00 Java interview questions
01:33 What is JIT?
01:39 What is a ClassLoader?
01:10 What are the memory allocations available in Java?
02:37 Will the program run if I write static public void main?
03:13 What is the default value stored in local variables?
04:19 What is the output of the following code segment?
06:36 What is an Association?
07:58 Define copy constructor in Java
08:39 What is a Marker Interface?
09:16 What is object cloning?
10:06 Why is Java not completely object-oriented?
10:37 Define wrapper classes in Java
11:23 Define singleton classes in Java
11:48 Define package in Java
13:20 Can you implement pointers in a Java program?
14:18 Differentiate between instance and local variables
14:58 Explain Java string pool
15:49 What is an Exception?
17:15 What is a final keyword in Java?
18:06 What happens when main() isn't declared as static?

What is Java?
Java is an object-oriented, class-based, high-level programming language used for software development, mobile application development, website development, desktop application development, and much more. Java is one of the leading and in-demand programming languages in the current IT industry.

To learn more about this topic, visit: https://www.simplilearn.com/tutorials/java-tutorial/java-interview-questions?utm_campaign=JavaInterviewQuestions&utm_medium=Description&utm_source=youtube

About Simplilearn Java certification training course:
If you’re looking to master web application development for virtually any computing platform, this Java Certification Training course is for you. This all-in-one Java training will give you a firm foundation in Java, the most commonly used programming language in software development.

Java Certification Course Key Features:
1. 70 hours of blended training
2. Hands-on coding and implementation of two web-based projects
3. Includes Hibernate and Spring frameworks
4. 35 coding-related exercises on Core Java 8
6. Flexibility to choose classes

👉Learn more at: https://www.simplilearn.com/mobile-and-software-development/java-javaee-soa-development-training?utm_campaign=Java&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Data Analytics Course for 3-8 Yrs Work Exp: https://l.linklyhq.com/l/1tx7T
🔥Data Analytics Course for 0-3 Yrs Work Exp: https://l.linklyhq.com/l/1ugCA
🔥Data Analytics Course for 8+ Yrs Work Exp: https://l.linklyhq.com/l/1ugCG

📊 Excel vs Power BI: Unleashing the Power of Data

In this insightful video, we dive deep into the world of data analysis and visualization, comparing two powerhouse tools: Microsoft Excel and Power BI. Whether you're a data enthusiast, a business professional, or a student eager to enhance your skills, this comparison will help you understand the strengths and nuances of each tool.

🔍 What's Covered:

Introduction to Excel:

Explore Excel's familiar interface and its robust capabilities for data manipulation.
Learn how to create pivot tables, use formulas, and perform basic data analysis within Excel.
Introduction to Power BI:

Discover the dynamic features of Power BI designed for advanced data modeling and visualization.
Understand the seamless integration of Power BI with various data sources for real-time insights.
Head-to-Head Comparison:

Breakdown of key differences and similarities between Excel and Power BI.
Practical examples showcasing scenarios where one tool may excel over the other.
When to Use Each Tool:

Guidance on choosing the right tool based on your specific needs and the complexity of your data.
Integration Possibilities:

Explore how Excel and Power BI can work together harmoniously to maximize your analytical capabilities.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics Training Videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#ExcelTraining #ExcelBasicsTrainingCourse #ExcelTraining #Exceltutorial #AdvancedExcelFullcourse #ExcelCourse #CompleteExcelCourse #AdvancedExcelTutorial #ExcelTraining #MSExcel #ExcelForBeginners #ExcelFullCourse #LearnExcel #2023 #Simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=23Nov23ExcelVsPowerBi&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=23Nov23ExcelVsPowerBi&utm_medium=Description&utm_source=youtube

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18Mar2024WhatAreTransformersInArtificialIntelligence&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In AI And Machine Learning (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=18Mar2024WhatAreTransformersInArtificialIntelligence&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=18Mar2024WhatAreTransformersInArtificialIntelligence&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=18Mar2024WhatAreTransformersInArtificialIntelligence&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Professional Certificate Program In Generative AI And Machine Learning (India Only) - https://www.simplilearn.com/iitr-generative-ai-machine-learning-program?utm_campaign=18Mar2024WhatAreTransformersInAI&utm_medium=DescriptionFirstFold&utm_source=youtube

In this What Are Transformers In Artificial Intelligence tutorial, we'll delve into the world of Transformers in AI. We'll unravel the intricate workings of these powerful models, from their foundational architecture to their applications in natural language processing, computer vision, and beyond. By the end, you'll grasp not only how Transformers operate but also why they've become a cornerstone in modern AI research and development. So, buckle up as we embark on this enlightening exploration through the realm of Transformers in AI.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18Mar2024WhatAreTransformersInAI&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=18Mar2024WhatAreTransformersInAI&utm_medium=Description&utm_source=youtube

🔥 Intellipaat's Data Science Course: https://intellipaat.com/data-s....cientist-course-trai
🔥 Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai
🔥 Intellipaat's Advanced Data Science and AI Certification Training: https://intellipaat.com/epgc-d....ata-science-ai-ihubd

#MachineLearningInterviewQuestions #MLInterviewQuestions #MLInterviewPreparation #MachineLearningEngineerInterviewQuestions #MachineLearningInterview #MachineLearningInterviewQuestionsForFreshers #Intellipaat

This video, Top 30 Machine Learning Interview Questions 2025, brings you the most frequently asked questions and detailed answers to ace your next job interview. Whether you're a fresher or an experienced professional, these machine learning interview questions are designed to help you prepare effectively for roles like Machine Learning Engineer, Data Scientist, or AI Specialist.

Discover insights into key ML concepts, algorithms, and problem-solving techniques that hiring managers value. Learn about important machine learning interview questions and their answers. With this ML interview questions and answers for experienced and freshers guide, become confident in answering questions about various machine learning concepts. Look into the critical questions around concepts such as supervised and unsupervised learning, feature selection, model evaluation, and advanced ML techniques. Don't miss this video, because this is going to enhance your understanding of machine learning and going to help you crack your dream job. Watch now and get ready to shine in your ML interviews!

📖Below are the pointers covered in this 'ML Interview Questions and Answers' video:

🥇 00:00:00 - Introduction to Machine Learning Interview Questions

👨‍💻 ML Interview Questions for Freshers (Basic Level Machine Learning Engineer Interview Questions):
Q1. What is Machine Learning, and why is it important?
Q2. Differentiate between supervised, unsupervised, and reinforcement learning.
Q3. What is a model in machine learning, and how is it used?
Q4. Explain overfitting and underfitting with examples.
Q5. What is a confusion matrix, and how is it used in evaluating models?
Q6. Define cross-validation. Why is it important in model evaluation?
Q7. What is the role of precision and recall in evaluating a model?
Q8. What is the F1 score, and how is it calculated?
Q9. What is the purpose of regularization in machine learning?
Q10. Explain the bias-variance trade-off.

👨‍💻 Intermediate Level Machine Learning Interview Questions:
Q11. What is feature engineering, and why is it crucial in machine learning?
Q12. Example of when a False positive is more crucial than a false negative and vice versa
Q13. What does naivety stand for in naive Bayes?
Q14. Give an example where the median is a better measure than the mean.
Q15. What are the key differences between bagging and boosting in ensemble methods?
Q16. How does a decision tree work in machine learning?
Q17. What is the principal component analysis (PCA), and when should it be used?
Q18. How does a support vector machine (SVM) classify data?
Q19. What is a dropout in neural networks, and how does it prevent overfitting?
Q20. Differentiate between batch gradient descent and stochastic gradient descent.

👨‍💻 Advanced Level Machine Learning Interview Questions for Experienced:
Q21. You notice that your model is overfitting on the training data. What steps would you take to address this issue?
Q22. How would you evaluate a model's performance using a Receiver Operating Characteristic (ROC) curve?
Q23. Describe a situation where regularization (L1 or L2) significantly improved your model's performance.
Q24. You are given a dataset with imbalanced classes. How would you handle this during model training?
Q25. Explain GAN.
Q26. Explain CNN.
Q27. Explain how recurrent neural networks (RNNs) are used for time-series data. Provide an example.
Q28. What strategy would you use to tune hyperparameters for a Random Forest or gradient-boosting model?
Q29. Describe a real-world scenario where reinforcement learning could be applied effectively.
Q30. How would you optimize the training of a deep neural network on a large-scale dataset with limited computational resources?

✅ How do I prepare for a machine learning interview?
Preparing for a machine learning interview involves mastering the fundamentals of ML concepts like supervised and unsupervised learning, algorithms, and model evaluation techniques. Work on real-world ML projects to showcase hands-on experience and build a strong portfolio.

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://www.youtube.com/@Intellipaat

📌Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at [email protected] or call us at IND: 7847955955 / USA: 1-800-216-8930

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA.

Speakers:
Cal Rueb, Member of Technical Staff at @anthropic-ai

Episode Summary: MIT professor Andrew W. Lo tackles AI-assisted financial advising, healthcare, and the effect of human behavior on financial markets.

Episode Description: In this the first of two pilot episodes of Chalk Radio with VIDEO, Professor Andrew Lo, who teaches finance at MIT’s Sloan School of Management, knows that many people find financial matters perplexing and scary. Lots of us don’t have a good head for numbers, and besides, how can one get advice and make sound decisions when it’s taboo to discuss one’s finances at all? That’s where a financial advisor is useful–someone who understands the concepts, can crunch the numbers, and has a fiduciary responsibility to look out for your best interests. For many people, hiring a financial advisor might be a financial impossibility, but Prof. Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but acts with real fiduciary responsibility. Large language models can’t do this yet, he says, but the technology is developing fast. Other topics he touches on in this episode include the outsized influence of finance on drug development and global decarbonization and the equally outsized influence of teachers on their students–he names many who changed his own life, from his third-grade teacher in Queens to his professors at college and graduate school.

Subscribe to Chalk Radio on podcast platforms ➜ https://chalk-radio.simplecast.com

Relevant Resources:
MIT OpenCourseWare (https://ocw.mit.edu)
The OCW Educator portal (https://ocw.mit.edu/educator)
Professor Lo’s faculty page (https://mitsloan.mit.edu/facul....ty/directory/andrew-
15.401 Finance Theory I on MIT OpenCourseWare (https://ocw.mit.edu/courses/15....-401-finance-theory-
15.481x Adaptive Markets: Financial Market Dynamics and Human Behavior on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
15.482x Healthcare Finance on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
Music in this episode by Blue Dot Sessions (https://www.sessions.blue/)

Connect with Us:
If you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you!

On our site (https://ocw.mit.edu/contact/)
On Facebook (https://www.facebook.com/MITOCW/)
On Twitter (https://x.com/MITOCW)
On Instagram (https://www.instagram.com/mitocw/?hl=en)
On Linkedin (https://www.linkedin.com/compa....ny/mit-opencoursewar

0:01 Intro
0:51 Why Finance Matters
3:02 Inflation, and practical finance applications to mitigate rising costs
5:19 Can ChatGPT reliably plan someone's retirement?
7:54 How to deal with AI hallucinations
9:14 Financial planning - why you need to start early!
9:58 Finances - a taboo topic?
11:07 AI Finance tools and ethics
12:31 Will AI take people's jobs?
13:18 Finance for positive impact on people & healthcare - Andrew's origin story
16:47 How Finance could help Climate
18:48 'It all comes down to money'
19:22 How human behavior affects Finance
19:47 How humans react to a market crash
21:12 Andrew's Adaptive Markets Hypothesis
22:02 How can we counteract irrational human tendencies?
24:00 How Andrew makes finance accessible through his teaching
24:55 Andrew's education and identifying different types of intelligence
28:31 Andrew's learning disorder and how teachers helped him manage it
35:08 Andrew's meaningful memento
38:17 Conclusion


Stay Current:
Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter (https://ocw.mit.edu/newsletter/)

Support OCW:
If you like Chalk Radio and OpenCourseWare, donate to help keep these programs going! (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbkZsQWFIcWdoRzdTdUFuS2I2M2FqUWFDamRDZ3xBQ3Jtc0trLVdrRHdGa0FSdjNHMkNQUEdJVHhsTGdwMVJHWFVFT2N3WF94ZmxST2ZVLWR5REhubmpZckNmWHJyR3VaZFdGbE9LODNNeUQ5X25kNWtTaTFGSnVUYmo1dEFZY1hTWXdnUTctSlhBZXRpbnBsRVRvbw&q=https%3A%2F%2Fgiving.mit.edu%2Fgive%2Fto%2Focw%2F%3Futm_source%3Docw%26utm_medium%3Dpodcast%26utm_campaign%3Ddonate&v=SD-zfFTUzBs_


Credits:
Sarah Hansen, host and producer
Brett Paci, producer
Jackson Maher, producer
Dave Lishansky, producer
Peter Chipman, show notes

High Quality HDR 8K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 12k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.

⭐ Note: To view at 8K 60P you will need to use Chrome & opera.

⭐ All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.

⭐ I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.

Editing Video by
PREETI NAAGAR

This video created for entertainment informative, educational purposes and Film & Animation.


Editing Software
Adobe premiere pro

ALL CREDIT GOES TO YOUTUBE

Copyright
⭐ All The footage Was Edited And Color Corrected By Me.
⭐ Video Footage Copyright Under License.

All other rights reserved.

#12KHDR #DolbyVision #60fpsHigh Quality HDR 8K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 12k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.

⭐ Note: To view at 8K 60P you will need to use Chrome & opera.

⭐ All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.

⭐ I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.

Editing Video by
PREETI NAAGAR

This video created for entertainment informative, educational purposes and Film & Animation.

Editing Software
Adobe premiere pro

ALL CREDIT GOES TO YOUTUBE

Copyright
⭐ All The footage Was Edited And Color Corrected By Me.
⭐ Video Footage Copyright Under License.

All other rights reserved.

#12Khdr #DolbyVision #Animals&Nature

Watch highlights from RED and NVIDIA’s Dec. 12, 2018, event where they jointly announced upcoming availability of NVIDIA CUDA-accelerated REDCODE RAW decode SDK and REDCINE-X, giving software developers and studios a powerful new way to work with 5K, 6K or 8K video. Developers interested in participating in the private beta can contact [email protected]. Public beta begins January 2019.

Training a large-scale deep net is a computationally expensive process, and common CPUs are generally insufficient for the task. GPUs are a great tool for speeding up training, but there are several other options available.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

A CPU is a versatile tool than can be used across many domains of computation. However, the cost of this versatility is the dependence on sophisticated control mechanisms needed to manage the flow of tasks. CPUs also perform tasks serially, requiring the use of a limited number of cores in order to build in parallelism. Even though CPU speeds and memory limits have increased over the years, a CPU is still an impractical choice for training large deep nets.

Vector implementations can be used to speed up the deep net training process. Generally, parallelism comes in the form of both parallel processing and parallel programming. Parallel processing can either involve shared resources on a single computer, or distributed computing across a cluster of nodes.

The GPU is a common tool for parallel processing. As opposed to a CPU, GPUs tend to hold large numbers of cores – anywhere from 100s to even 1000s. Each of these cores is capable of general purpose computing, and the core structure allows for large amounts of parallelism. As a result, GPUs are a popular choice for training large deep nets. The Deep Learning community provides GPU support through various libraries, implementations, and a vibrant ecosystem fostered by nVidia. The main downside of a GPU is the amount of power required to run one relative to the alternatives.

The “Field Programmable Gate Array”, or FPGA, is another choice for training a deep net. FPGAs were originally used by electrical engineers to design mock-ups for different computer chips without having to custom build a chip for each solution. With an FPGA, chip function can be programmed at the lowest level – the logic gate. With this flexibility, an FPGA can be tailored for deep nets so as to require less power than a GPU. Aside from speeding up the training process, FPGAs can also be used to run the resultant models. For example, FPGAs would be useful for running a complex convolutional net over thousands of images every second. The downside of an FPGA is the specialized knowledge required during design, setup, and configuration.

Another option is the “Application Specific Integrated Circuit”, or ASIC. ASICs are highly specialized, with designs built in at the hardware and integrated circuit level. Once built, they will perform very well at the task they were designed for, but are generally unusable in any other task. Compared to GPUs and FPGAs, ASICs tend to have the lowest power consumption requirements. There are several Deep Learning ASICs such as the Google Tensor Processing Unit (TPU), and the chip being built by Nervana Systems.

There are a few parallelism options available with distributed computing such as data parallelism, model parallelism, and pipeline parallelism. With data parallelism, different subsets of the data are trained on different nodes in parallel for each training pass, followed by parameter averaging and replacement across the cluster. Libraries like TensorFlow support model parallelism, where different portions of the model are trained on different devices in parallel. With pipeline parallelism, workers are dedicated to tasks, like in an assembly line. The main idea is to ensure that each worker is relatively well-utilized. A worker starts the next job as soon as the current one is complete, a strategy that minimizes the total amount of wasted time.

Parallel programming research has been active for decades, and many advanced techniques have been developed. Generally, algorithms should be designed with parallelism in mind in order to take full advantage of the hardware. One such way to do this is to decompose the data model into independent chunks that each perform one instance of a task. Another option is to group all the tasks by their dependencies, so that each group is completely independent of the others. As an addition, you can implement threads or processes that handle different task groups. These threads can be used as a standalone solution, but will provide significant speed improvements when combined with the grouping method. To learn more about this topic, follow this link to the Open HPI Massive Open Online course (MOOC) on parallel programming - https://open.hpi.de/courses/parprog2014.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

Fine-tuning larger models can be tricky on consumer hardware. In this video I go over why its better to use large models for fine-tuning vs smaller models, I go over the issue with the naive approach to fine-tuning, and finally, I go over how to use DeepSpeed to successfully fine-tune even the largest GPT Neo model.

Notebook Git repo: https://github.com/mallorbc/GP....T_Neo_fine-tuning_no
finetuning repo: https://github.com/Xirider/finetune-gpt2xl
DeepSpeed repo: https://github.com/microsoft/DeepSpeed
happy transformers: https://happytransformer.com/
GPT article with images: https://towardsdatascience.com..../gpt-3-the-new-might

Timestamps

00:00 - Intro
00:36 - Background on fine-tuning
02:41 - Setting up Jupyter
05:17 - Incorrect naive fine-tuning method
10:02 - Correctly fine-tuning with DeepSpeed
15:35 - Fine-tuning the 2.7B model
16:35 - Fine-tuning the 1.3B model
17:55 - Looking at the README
20:08 - Outro and future work

🔥 Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6ReasonsWhyChatGPTCanMakeYourBusiness25May2023&utm_medium=Descriptionff&utm_source=youtube


6 Reasons Why ChatGPT Can Make Your Business by simplilearn is a tutorial based in Artificial Inteliigence and Large Learning Models. This AI tutorial will discuss the top 6 reasons why chatGPT and AI can help you build a successful business.. The video cover How to Use ChatGPT to Grow Your Business and to tap out the best out of your business. This Simplilearn tutorial will cover the following six reasons.

00:00:00 Introduction to 6 Reasons Why chatGPT can make your business
00:02:00 Decision Making Capabilities
00:02:50 Customer Services
00:03:45 Content Creation
00:04:24 AI and ChatGPT for Data analysis
00:05:38 Sales and Marketing
00:06:49 Automation

✅ Learn the Basics of AI for free & get a Completion Certificate, Enroll Now: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=6ReasonsWhyChatGPTCanMakeYourBusiness25May2023&utm_medium=Description&utm_source=youtube

#ArtificalIntelligence #ChatGPT #MachineLearning #ChatGPTForBusiness #AI #ML #GPT3 #GPT4 #HowToUseChatGpt #ChatBotOpenAI #Simplilearn

✅ AI ML Course Overview

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision

👉Learn more at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6ReasonsWhyChatGPTCanMakeYourBusiness25May2023&utm_medium=ShortsDescription&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

✅ Know our learners and their journeys: https://www.simplilearn.com/reviews?utm_campaign=6ReasonsWhyChatGPTCanMakeYourBusiness25May2023&utm_medium=Description&utm_source=youtube

✅ For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
- Instagram: https://www.instagram.com/simplilearn_elearning
- Telegram Mobile: https://t.me/simplilearnupdates
- Telegram Desktop: https://web.telegram.org/#/im?....p=@simplilearnupdate

Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

GPT-3 was in all news its Human-like Text Generation capabilities. Shame it was never opensourced by Open AI (!). Hence EleutherAI with a bunch of researchers set out to create a true GPT-3 open-source alternative and GPT-J-6B is the product of those efforts.

GPT-J-6B is a 6 billion parameter, autoregressive text generation model trained on The Pile.

Useful Links:
✅ Mesh Transformer JAX - https://github.com/kingoflolz/mesh-transformer-jax
✅ GPT-J-6B: 6B JAX-Based Transformer Blogpost by Aran Komatsuzaki - https://arankomatsuzaki.wordpr....ess.com/2021/06/04/g
✅Web Demo of GPT-J-6B for Text Generation - https://6b.eleuther.ai/
✅Colab (Python) Notebook - https://colab.research.google.....com/github/kingoflol
✅JAX - https://jax.readthedocs.io/en/....latest/notebooks/qui

Related Videos:

🎥 AI Text Generation with GPT-3 OpenSource Alternative GPT-Neo Model using Hugging Face Hub
- https://www.youtube.com/watch?v=0PuVk6c8Ua8

🎥 AI-Generated Blog Content with GPT-Neo (GPT-3 Alternative) + Gradio | Python ML Web App - https://youtu.be/d_xRYyy2LFM

Redux: Handle an Action in the Store


#100DaysOfCode

🔥Business Analyst Masters Program (Discount Coupon - YTBE15):https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=23AugustTubebuddyExpBA&utm_medium=DescriptionFF&utm_source=youtube

🔥 Post Graduate Program In Business Analysis: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=22June2023WhatisBusinessIntelligence&utm_medium=DescriptionFF&utm_source=youtube
This Business Intelligence Tutorial For Beginnersby Simplilearn will take you through the core concept of what is business intelligence. In this video, you will understand the process of business intelligence along with the applications and tools used for business intelligence. In addition, you will also know about the process involved in business intelligence.

Below are the topics we have covered in this business intelligence tutorial for beginners.
00:00 What is Business Intelligence?
02:23 Introduction to Business Intelligence
02:42 Steps Involved In Business Intelligence
06:07 Applications Of Business Intelligence
07:42 Tools for Business Intelligence

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Business Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUIhyG

#WhatisBusinessIntelligence #BusinessIntelligenceTutorialforBeginners #BusinessIntelligence #BI #PowerBI #PowerBiForBeginners #BA #BusinessAnalyst #WhatisBusinessAnalytics #BusinessAnalytics #Simplilearn

🔵 Whats Is Business Intelligence?
Business Intelligence, often referred to as BI, is the process of collecting, analyzing, and transforming raw data into actionable insights for business purposes. It helps organizations make informed decisions, enhance performance, and gain a competitive edge in today's dynamic marketplace.

➡️ About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.

✅ Key Features
- Certificate from Simplilearn in collaboration with Purdue University
- Become eligible to be part of the Purdue University Alumni Association
- Master Classes delivered by Purdue faculty
- Earn 35 PDs/CDUs post completion of the CBAP® module
- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
- Capstone from 3 domains and 14+ projects
- Simplilearn Career Service helps you get noticed by top hiring companies
- Get mentored and network with Business Analyst from Amazon, Microsoft, and Google

✅ Skills Covered
- Business Analysis
- Elicitation and Collaboration
- BRD FRD and SRS Document Creation
- Requirements Analysis
- Planning and Monitoring
- Requirements Life Cycle Management
- Strategy Analysis
- Wireframing
- Solution Evaluation
- Dashboarding
- Data Visualization
- Agile scrum methodology
- Scrum Artifacts
- Statistical Analysis using Excel
- SQL Database
- Python
- Data analysis
- Digital Transformation

👉Enroll now: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=22June2023WhatisBusinessIntelligence&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes?* Call Us: IN - 1800-212-7688 / US - +1-844-532-7688
👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=22June2023WhatisBusinessIntelligence&utm_medium=Description&utm_source=youtube

🔥Enroll for Free Courses by Simplilearn: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=22June2023WhatisBusinessIntelligence&utm_medium=Description&utm_source=youtube

In 2018 the kg will be defined by Planck's constant, not a hunk of metal.
Try a free book from Audible for 30 days http://ve42.co/audible
Special thanks to the staff at NIST who made this possible: Darine Haddad, Jon Pratt, Stephan Schlamminger, and Ben Stein.

Additional footage and animations by Sean Kelley, Jennifer Lauren Lee, and Frank Seifert.

I have been obsessed with measurement for a long time and I'm not sure quite how it happened. The world's roundest object played a role in this. I guess I'm just fascinated by how difficult it is to pin down a quantity like a kilogram. A physical object seemed like a good idea until the mass of the international prototype kilogram wasn't as constant as expected. These methods of the Kibble balance and silicon sphere have shown better precision than 20 parts per billion, making them superior to the old method. The agreement between Avogadro approaches

Special thanks to Patreon Supporters:
Tony Fadell, Donal Botkin, Jeff Straathof, Zach Mueller, Ron Neal, Nathan Hansen

Support Veritasium on Patreon: http://ve42.co/patreon

Interferometer video by TSG Physics: https://www.youtube.com/watch?v=j-u3IEgcTiQ

Music from http://epidemicsound.com "ExperiMental1" by Gunnar Johnsén

Studio filming by Raquel Nuno