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๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
๐ฅ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐: https://www.edureka.co/prompt-....engineering-generati
Explore the fundamentals and applications of Generative AI in this comprehensive Generative AI Full course, featuring tutorials on essential concepts such as Text Classification, Autoencoders, GANs, and models like ChatGPT. Delve into the basics of Generative AI, Artificial Intelligence, Machine Learning, and Deep Learning while exploring popular tools like TensorFlow and Keras. Gain insights into various types of AI and learn how to become an AI Engineer.
00:00:00 Introduction
00:00:52 Agenda
00:02:44 What is Generative AI ?
00:04:34 Advantages of Generative AI
00:40:14 The future of generative AI
00:55:41 Autoencoders
01:15:42 What are Generative Models
01:52:44 What is Cha
02:17:11 AI and Culture
02:37:12 What does the Future hold
02:52:01 Simple Relational Knowledge
03:05:21 AI vs ML vd DL
03:19:26 What is AI , types of AI , application of AI
03:57:57 Why Python for AI
04:13:31 Demand of AI
04:23:12 Machine Learning and its details
04:42:20 Machine learning algorithm
04:57:14 Limitation of ML
05:25:23 Natural Language Processing
05:40:12 Deep learning
05:49:50 What is Object Detection
05:58:44 What are tensors
06:17:15 CNN
06:38:44 What are Artificial Nueral Networks
06:53:33 training sa Neural Network
07:06:09 why not feedforward netwrok
07:18:45 Long short term Memory networks
07:34:19 What are Keras?
08:00:15 Cognitive Computing
08:23:13 AI in Different fields
08:35:48 Top 10 Artificial Intelligence Technologies
09:00:14 Role,skills and career in ai
09:09:53 Interview questions
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
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๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://2ly.link/1w69F
This Edureka video explains "Implementing secure CI-CD Pipelines with DevSecOps" in a simple comprehensive fashion. DevSecOps is an amalgamation of Development, Operations, and Security wherein the security aspect is baked through your DevOps process and not just integrated at the end of the Software Development Life Cycle.
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
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LangChain is a framework for developing applications powered by large language models (LLMs).
code github: https://github.com/krishnaik06/Updated-Langchain
LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.
Timestamp
00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain
-------------------------------------------------------------------------------------------------
Support me by joining membership so that I can upload these kind of videos
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
-----------------------------------------------------------------------------------
Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
โบLLM Fine Tuning Playlist: https://www.youtube.com/watch?v=Vg3dS-NLUT4&list=PLZoTAELRMXVN9VbAx5I2VvloTtYmlApe3
โบAWS Bedrock Playlist: https://www.youtube.com/watch?v=2maPaQutcWs&list=PLZoTAELRMXVP8-wzKPtrRST3jNCprvMZj
โบLlamindex Playlist: https://www.youtube.com/watch?v=1eym7BTnuNg&list=PLZoTAELRMXVNOWh1SDXt5NFujQMOt-CWy
โบGoogle Gemini Playlist: https://www.youtube.com/watch?v=it0l6lx3qI0&list=PLZoTAELRMXVNbDmGZlcgCA3a8mRQp5axb&pp=gAQBiAQB
โบLangchain Playlist: https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar&pp=gAQBiAQB
โบData Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB
โบLearn In One Tutorials
Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz
End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's
Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n
Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n
โบLearn In a Week Playlist
Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay
Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz
Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns
NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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๐ฅPySpark Certification Training: https://www.edureka.co/pyspark....-certification-train
This Edureka "Machine Learning using Spark MLlib" video will help you to understand what is Machine Learning and what is Data Types. Learn and understand the kinds of problems that are solved using Machine Learning
Edureka PySpark Playlist: https://goo.gl/pCym9F
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-----------------------------------------Edureka Masters Programs---------------------------------------------------
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--------------------------------------------
About the Course
Edurekaโs PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.
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Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:
Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
The exposure to many real-life industry-based projects which will be executed using Edurekaโs CloudLab
---------------------------------------------------
Who should go for this course?
Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Mainframe Professionals
Freshers
Big Data Architects, Engineers and Developers
Data Scientists and Analytics Professionals
-------------------------------------------------------
There are no such prerequisites for Edurekaโs PySpark Training Course. However, prior knowledge of Python Programming and SQL will be helpful but is not at all mandatory.
--------------------------------------------------------
For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)
๐ฅ Machine Learning Full Course 2024 | Learn it ๐ดLIVE | Machine Learning Tutorial | Simplilearn
๐Artificial Intelligence Career Guide (Free) - https://l.linklyhq.com/l/1ybM6
๐ฅ Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18JulMLFCLive&utm_medium=DescriptionFirstFold&utm_source=youtube
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๐ฅAI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=18JulMLFCLive&utm_medium=DescriptionFirstFold&utm_source=youtube
In this Machine Learning Full Course 2024 video by Simplilearn, We will begin with the fundamentals of machine learning and walk you through the advanced machine learning concepts and algorithms used in the process. we'll cover some of the essential topics like linear vs logistic regression. This Machine Learning Course for Beginners will give you a practical explanation of statistics and probability. At the end of this video, we will be discussing the essential interview questions and answers of machine learning to help every individual crack an interview.
โ
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โฉ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
#MachineLearningCourse #MachineLearningFullCourse #MachineLearningWithPython #MachineLearningWithPythonFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #MachineLearningTraining #Simplilearn
Dataset Link -https://drive.google.com/drive..../folders/15lSrc4176J
โก๏ธ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
โ
Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts
โ
Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision
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Machine Learning In 5 Minutes | Machine Learning Introduction |What Is Machine Learning |Simplilearn
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This Machine Learning basics video will help you understand what is Machine Learning, what are the types of Machine Learning, what is Supervised & Unsupervised Machine Learning, what is Reinforcement Learning and will also explain how Machine Learning is being used in various businesses. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use โpattern recognitionโ to produce reliable results. Machine learning is starting to reshape how we live, and itโs time we understood what it is and why it matters. Now, let's deep dive into this short video on Machine learning and understand the basics of Machine Learning.
Below topics are explained in this Machine Learning basics video:
1. What is Machine Learning? (00:52)
2. What is Supervised Learning? (01:25)
3. What is Unsupervised Learning? (01:52)
4. What is Reinforcement Learning? (02:25)
5. Simplilearn's Machine Learning certification course (03:54)
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi
Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy
#MachineLearning #MachineLearningAlgorithms #WhatisMachineLearning #MachineLearningBasics #SimplilearnMachineLearning #MachineLearningCourse
โก๏ธ 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.
โ
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
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube
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A combination of Prompt Engineering and ChatGPT to learn the internals and technology behind large language models powering the new era of Artificial Intelligence.
A List of all prompts and keywords use in this video:
- https://github.com/prodramp/De....epWorks/blob/main/Ch
== Video Timeline ==
(00:00) Content Intro
(01:30) ChatGPT
(02:43) Transformer architecture
(09:10) Keywords Generation
(13:38) Text embedding
(17:43) Encoder and Decoder
(18:32) Self attention
(18:45) Multi-head self attention
(21:56) PyTorch Code Multi-head self attention
(23:37) Scaled Dot Product Attention
(27:45) Key deep learning methods
(28:53) Large language models
(29:49) LLM Parameter Count (Python Code)
(31:38) DALL-E large language model
(33:17) Key Differences DALL-E & ChatGPT
(34:20) List all Prompts
(34:40) ChatGPT Session Summary
Please visit:
https://prodramp.com | @prodramp
https://www.linkedin.com/company/prodramp
Content Creator:
Avkash Chauhan (@avkashchauhan)
https://www.linkedin.com/in/avkashchauhan
Tags:
#llm #chatgpt #promptengineering #openai #python #artificialintelligence
๐ฅProfessional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=ArFhzPe7j2c&utm_medium=DescriptionFirstFold&utm_source=Youtube
๐ฅPurdue - Ai And Machine Learning Post Graduate Certificate Program - https://www.simplilearn.com/applied-ai-course?utm_campaign=ArFhzPe7j2c&utm_medium=DescriptionFirstFold&utm_source=Youtube
Chat GPT for Programming by simplilearn is dedicated for aspiring software developers and web developers to understand the fundamentals of Programming Using ChatGPT. This ChatGPT For Beginners by simplilearn, is a roadmap for creating a compelling YouTube description for a channel focused on programming with ChatGPT can enhance your visibility and engagement.
โ
Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
#ChatGPTForProgramming #Coding #ChatGPT #ChatGPT4 #ChatGPTTutorial #OpenAI #AI #Simplilearn
โฉ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
โก๏ธ 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.
โ
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
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=28March2024ChatGPTforProgramming&utm_medium=Description&utm_source=youtube
๐ฅ๐ฅ *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2024 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini
For all lectures, slides, and lab materials: http://introtodeeplearning.com/
Lecture Outline
0:00โ - Introduction
7:25โ - Course information
13:37โ - Why deep learning?
17:20โ - The perceptron
24:30โ - Perceptron example
31;16โ - From perceptrons to neural networks
37:51โ - Applying neural networks
41:12โ - Loss functions
44:22โ - Training and gradient descent
49:52โ - Backpropagation
54:57โ - Setting the learning rate
58:54โ - Batched gradient descent
1:02:28โ - Regularization: dropout and early stopping
1:08:47 - Summary
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
PyTorch is a deep learning framework for used to build artificial intelligence software with Python. Learn how to build a basic neural network from scratch with PyTorch 2.
#ai #python #100SecondsOfCode
๐ฌ Chat with Me on Discord
https://discord.gg/fireship
๐ Resources
PyTorch Docs https://pytorch.org
Tensorflow in 100 Seconds
Python in 100 Seconds https://youtu.be/x7X9w_GIm1s
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Upgrade at https://fireship.io/pro
Use code YT25 for 25% off PRO access
๐จ My Editor Settings
- Atom One Dark
- vscode-icons
- Fira Code Font
๐ Topics Covered
- What is PyTorch?
- PyTorch vs Tensorflow
- Build a basic neural network with PyTorch
- PyTorch 2 basics tutorial
- What is a tensor?
- Which AI products use PyTorch?
๐ฅ Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai
๐ฅGenerative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
In this video, on *Generative AI Examples* , we will explore the fascinating world of *Generative AI* and how it's transforming industries. From creating stunning visual art to generating human-like text, Generative AI is opening new doors for creativity and innovation. We'll break down how AI models like *GPT* and *DALL-E* are used to generate everything from realistic images to engaging text content. By the end of this video, youโll have a clear understanding of how Generative AI is shaping the future and what it means for businesses and creatives alike.
โ
00:00 - Generative AI Examples
โ
01:49 - Evolution of Generative AI
โ
02:49 - What is Generative AI?
โ
03:25 - Use-Cases of Generative AI
โ
05:13 - Impact of Generative AI
โ
05:57 - Examples of Generative AI
โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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About Introduction to Generative AI Fundamentals Course
This course on Introduction to Generative AI is designed to equip learners with a solid understanding of generative models, from fundamental concepts to advanced applications. Starting with the basics, learners will grasp the principles of Generative AI, differentiate between generative and discriminative models, and explore popular tools in the field. Ethical considerations are addressed alongside practical skills like prompt engineering and deep learning techniques such as autoencoders and GANs. Advanced topics include working with large language models (LLMs), fine-tuning them for specific tasks, and applying reinforcement learning.
Who should take up this Generative AI learning path Course?
This course on Introduction to Generative AI is perfect for individuals aiming to pursue a career in AI, including data scientists, researchers, and developers who wish to explore generative models. It is also beneficial for professionals in various sectors like software development, marketing, and retail who want to utilize AI for problem-solving and innovation. Regardless of your level of experience, whether you are a novice or a seasoned practitioner, this course provides valuable knowledge and practical skills to enhance your expertise in Generative AI.
What are the prerequisites for this Introduction to Generative AI fundamentals Course?
There are no prerequisites required for this course, Introduction to Generative AI. However, it is beneficial to have:
Basic Python Programming Knowledge
Problem-Solving Skills
Fundamentals of Machine Learning
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)
#generativeaiexamples #generativeai #genai #aiexamples #artificialintelligence #aitools #aiapplications
This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
As of November 2023 (this field moves fast!).
Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break.
- Slides as PDF: https://drive.google.com/file/....d/1pxx_ZI7O-Nwl7ZLNk (42MB)
- Slides. as Keynote: https://drive.google.com/file/....d/1FPUpFMiCkMRKPFjhi (140MB)
Few things I wish I said (I'll add items here as they come up):
- The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did.
- How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the โsystem messageโ).
- You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015..../05/21/rnn-effective
- What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/ll....ama2.c/blob/master/r
Chapters:
Part 1: LLMs
00:00:00 Intro: Large Language Model (LLM) talk
00:00:20 LLM Inference
00:04:17 LLM Training
00:08:58 LLM dreams
00:11:22 How do they work?
00:14:14 Finetuning into an Assistant
00:17:52 Summary so far
00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard
Part 2: Future of LLMs
00:25:43 LLM Scaling Laws
00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E)
00:33:32 Multimodality (Vision, Audio)
00:35:00 Thinking, System 1/2
00:38:02 Self-improvement, LLM AlphaGo
00:40:45 LLM Customization, GPTs store
00:42:15 LLM OS
Part 3: LLM Security
00:45:43 LLM Security Intro
00:46:14 Jailbreaks
00:51:30 Prompt Injection
00:56:23 Data poisoning
00:58:37 LLM Security conclusions
End
00:59:23 Outro
Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam โ https://ibm.biz/Bdnd3d
Learn more about Large Language Models (LLMs) here โ https://ibm.biz/Bdnd3x
What if you could run large language models locally with just one command? ๐ Cedric Clyburn shows how Ollama, an open-source tool, simplifies deploying LLMs on your machine. ๐ก Protect your data, save costs, and explore powerful AI solutionsโall from your own system. โจ
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM โ https://ibm.biz/Bdnd3D
#ollama #opensourceai #llm
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๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This *Machine Learning Full Course* is a comprehensive program that provides learners with the skills and expertise required to excel in machine learning. In this course, we will gain proficiency in programming languages like Python and libraries such as TensorFlow and PyTorch. Through a combination of theory and hands-on practice, explore key concepts such as supervised and unsupervised learning, neural networks, and model optimization.
00:00:00 Introduction
00:01:45 What is Machine learning?
00:18:19 Types of Machine Learning Models
00:25:54 Mathematics for Machine Learning
02:08:35 Machine Learning Algo
02:30:28 How to select the correct predictive modeling techniques?
02:42:37 Linear Regression Algorithm
02:50:02 Logistic Regression Algorithm
03:37:12 Linear Regression Vs Logistic Regression
03:40:42 Decision Tree Algorithm
04:26:16 Random Forest
04:51:31 KNN Algorithm
05:23:54 Naive Bayes Classifier
05:45:36 Support Vector Machine
06:11:07 K- Means Clustering Algorithm
06:34:26 Hierarchical Clustering
06:40:48 Apriori Algorithm Explained
06:58:18 Introduction to TensorFlow
07:21:54 Azure Machine Learning
07:48:13 AWS Machine Learning
08:28:41 Top Machine Learning Tools & Frameworks
08:38:37 MLOps for Beginners
08:51:04 How to Become a Machine Learning Engineer?
09:00:34 Machine learning Engineer Skills
09:08:43 Machine Learning Roadmap
09:18:34 Machine Learning Tips
09:25:14 Machine Learning Interview Question & Answers
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๐จ๐ซ ๐
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๐Feel free to share your comments below.๐
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฐ๐๐ซ ๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ : https://www.edureka.co/power-b....i-certification-trai (Use code "๐๐๐๐๐๐๐๐๐")
This Edureka "Power BI Desktop" video will help you to understand what is Power BI Desktop and how to apply the best practices to build live and interactive dashboards and reports on this platform.
๐ด Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV.
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
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โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.
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This Excel Data Analytics Full Course, from Beginners to Advanced video by simplilearn, will guide you through creating data visualisations and charts like a Funnel Chart in Excel, leveraging advanced functions such as SUMIFS, SUMPRODUCT, and AVERAGEIFS formulas, and mastering Data Visualization techniques, including building Excel Charts like a pro and creating multiple dependent DROP DOWN LISTS. Additionally, you'll learn Data Analytics using AI, how to use Microsoft Power Query for Data Transformation, and importing Excel data into tools like MySQL Workbench and Power BI, alongside learning about the distinctions between a Database and a Data Warehouse. With bonus content covering Automated Payslip Generators, AI in Excel, and tools like ChatGPT and Google Gemini for data analytics, you'll be well-equipped for 2024 with the top Excel formulas and insights for analysts.
The Full course will cover the following topics
00:00:00 Introduction to Excel Full Course
05:34:44 Excel Full Course Beginners to Advanced
05:38:08 How To Create A Funnel Chart In Excel
05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
07:21:22 Data VisuALIZATION In EXCEL
07:27:08 Compare Two Lists And Find A Match In Excel
07:31:20 Build Excel Charts Like A Pro
07:44:34 Create Multiple Dependent DROP DOWN LIST In EXCEL
07:48:27 SUMPRODUCT Excel
07:50:18 AVERAGEIFS Formula in Excel
08:08:45 How to use microsoft power query
08:14:10 How To Import Excel Data File To MySQL Workbench
08:20:49 How To Import Excel Data In Power BI
08:22:33 How to Import Data from Web to Excel
08:52:31 Master DATA CLEANING In EXCEL
08:53:25 Database Vs Data Warehouse
09:03:46 Database Vs Data Warehouse
09:22:06 Excel Dashboard For Beginners
09:26:41 How To Use AI In Excel ?
09:42:07 How To Build Automated Payslip Generator In Excel
09:51:28 Copilot In EXCEL
10:04:10 Learn EXCEL Using Google Gemini
10:19:47 ChatGPT And Excel For Data Analytics
10:36:08 Data Transformation
11:07:07 ChatGPT for Excel Dashboard
11:30:53 Top 10 Important Excel Formulas For Analysts In 2024
โฉ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S
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โก๏ธ 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
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Post Graduate Program certificate and Alumni Association membership
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Exclusive hackathons and Ask me Anything sessions by IBM
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8X higher live interaction in live online classes by industry experts
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Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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Master Classes delivered by Purdue faculty and IBM experts
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Simplilearn's JobAssist helps you get noticed by top hiring companies
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Resume preparation and LinkedIn profile building
โ
1:1 mock interview
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Career accelerator webinars
Skills Covered
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Data Analytics
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Statistical Analysis using Excel
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Data Analysis Python and R
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Data Visualization Tableau and Power BI
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Linear and logistic regression modules
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Clustering using kmeans
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Supervised Learning
๐ Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=oHm6uf9YOt0&utm_medium=Description&utm_source=youtube