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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
December 5, 2025
This lecture covers:
• Recap
• Trending topics
• Closing thoughts
To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/
Chapters:
00:00:00 Introduction
00:01:12 Transformer
00:06:35 Transformer-based models & tricks
00:11:17 Large Language Models
00:15:05 LLM training
00:24:09 LLM tuning
00:29:41 LLM reasoning
00:38:37 Agentic LLMs (RAG, tool calling)
00:44:09 LLM evaluation
00:48:57 Vision Transformer
01:04:02 Diffusion-based LLMs
01:23:38 Closing thoughts
01:50:16 Thank you!
Afshine Amidi is an Adjunct Lecturer at Stanford University.
Shervine Amidi is an Adjunct Lecturer at Stanford University.
View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r
🔥NIT Warangal Post Graduate Diploma in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka video of "Chatbots using TensorFlow" gives you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.
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How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
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Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.
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#Autoencoder #Tensorflow #DeepLearning #NeuralNetworks #python #MachineLearning #DimensionalityReduction
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This video on "SQL for Data Analytics 2023" by Simplilearn will help you understand the various skills needed for data analytics in SQL, and you will know how SQL is used for Data Analytics. This SQL tutorial will also help you master all the basic and advanced-level concepts of SQL programming, along with the demos for the same.
Below are the topics we have covered in this SQL For Data Analysis 2023 video.
00:00:00 Introduction to SQL
00:03:32 What is SQL Tutorial?
00:15.33 What is DBMS?
00:32:30 Installation of MySQL on PC
00:40:10 SQL Syntax, Data types, Commands
01:00:32 What are SQL Operators?
01:23:15 What are SQL Expressions?
01:34:02 How to create a database in MySQL?
01:40:44 What is SQL Table Tutorial?
01:57:39 SQL Select Statement tutorial
02:19:41 What is SQL Clause?
02:44:29 SQL Insert Statement tutorial
02:53:48 SQL Update Statement tutorial
03:01:12 SQL Delete Statement tutorial
03:10:21 What is SQL Join?
03:51:37 What are Keys in SQL?
04:04:53 What are Aggregate Functions?
04:21:12 What are Scalar Functions?
04:37:10 SQL Group by and Order by
04:57:08 How to use Where Clause in SQL?
05:01:24 SQL Where vs. Having Clause
05:21:15 What are Subqueries?
05:31:27 How to Create a user-defined Function in SQL?
05:42:51 What are Commit and Rollback in SQL?
05:58:35 SQL Like Clause Tutorial
06:11:52 How to find Nth highest Salary?
06:25:58 WebSQL Tutorial
06:41:00 Cast and Convert Function in SQL
06:57:21 What is View In SQL?
07:17:03 SQL Interview Questions for Beginners
Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni
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#DataAnalyticsWithSQL #DataAnalyticsInSQLFullCourse #DataAnalytics #DataAnalyticsUsingSQL #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #SQLTutorial #SQLTutorialForBeginners #sql #sqlcourse #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn
What is SQL(Structured Query Language)?
SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system or for stream processing in a relational data stream management system.
✅ About Data Analyst Master's Program
This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.
✅ What are the Data Analyst course learning objectives?
Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.
✅ Why become a Data Analyst?
The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.
✅ Tools Covered
- Microsoft Excel
- Tableau
- NumPy
- Pandas
- SciPi
- Power BI
- Python
- R Programming
- MySQL
👉Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course#why-become-a-data-analyst?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube
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This Gen AI Full Course video by Simplilearn will help you learn everything about Generative AI (Gen AI). The Gen AI full Course will begin with an in-depth exploration of generative artificial intelligence and its applications. It starts with an explanation of what Gen AI is, followed by the evolution of AI and a detailed roadmap for mastering generative AI. The course highlights future AI trends, top AI technologies, and career opportunities in the field. It includes hands-on machine learning projects for practice and tutorials on LangChain, deep learning, and advanced AI concepts like transformers, LSTMs, and recurrent neural networks. Additional topics include OpenAI tools such as ChatGPT, SearchGPT, and Sora, along with benchmarking large language models (LLMs) and generative adversarial networks. Reinforcement learning and machine learning tutorials are also covered, culminating with interview questions to prepare learners for AI-related roles.
The Full course covers the following topics:
00:00:00 Introduction to Gen AI Full Course
00:00:45 What is Gen AI
00:11:17 Evolution of AI
00:21:39 Roadmap Gen AI
00:37:18 AI Trends for the Fututre
00:37:59 Top 10 AI Technologies
00:47:50 AI Carrers
00:55:05 ML Projects For Practice
01:15:06 Wht is Langchain
01:34:03 Deep Learning Tutorial For Beginners
01:49:27 Open ai chatgpt o1 model
01:57:44 Search GPT
02:08:40 Openai sora
02:17:33 LLM Benchmarkeing
03:02:10 Generative Adversarial Tutorial
03:08:22 LSTM
03:09:23 Transformers in AI
03:17:04 Introduction to LLM
04:18:17 What is Machine Learning
05:14:49 Machine Learning Tutorial
07:20:12 Reinforcement Learning
08:49:51 Recurrent Neural Network
09:09:42 CHatgpt analyse
09:21:49 MAchine Learning Interview questions
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⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a
#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025
➡️ About Professional Certificate Program in Generative AI and Machine Learning
Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.
Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics
Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass
👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=3eT5gjnNgUI&utm_medium=Description&utm_source=Youtube
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
November 11, 2025
This lecture covers agents, prompts, and RAG.
To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea
Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/
More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r
NOTE: There was no class on November 4, 2025 (Lecture 7). The previous lecture is Lecture 6.
Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department
Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department
Simple solution to the #kaggle competition which obtains a final score of over 0.92 which would rank us in the top 1% of submissions! :)
Link to santander customer transaction prediction:
https://www.kaggle.com/c/santa....nder-customer-transa
GitHub Repository:
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Timestamps:
0:00 - Introduction to competition
1:50 - Get data
8:22 - Simple NN baseline
20:50 - First results 0.86 score
21:33 - Understanding the data
23:40 - Modifying our NN
28:10 - Improvement to baseline
29:00 - Feature engineering
44:54 - Modifying our NN v2
50:45 - Final result and submission
56:50 - Ending
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
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
February 6, 2026
This lecture covers:
• A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning
• An introduction to and evaluation of FeedbackWriter
• How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Xu Wang is an Assistant Professor in Computer Science and Engineering and the School of Information (By courtesy) at the University of Michigan.
📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-
This Generative AI full course is designed to help you understand and explore the power of AI in the most simple and practical way. Whether you're a beginner or just curious about how tools like ChatGPT, Midjourney, or other AI systems work, this course covers everything from the basics of what Generative AI is, how to communicate with AI using effective prompts, and real-life use cases in content creation, business, and productivity.
00:00:00:Introduction
00:02:06 What is Machine learning?
00:18:42 Types of Machine Learning Models
00:25:56 Mathematics for Machine Learning
02:08:43 Machine Learning Algo
02:30:38 How to select the correct predictive modeling techniques?
02:42:48 Linear Regression Algorithm
02:50:14 Logistic Regression Algorithm
03:37:27 Linear Regression Vs Logistic Regression
03:40:58 MLOps for Beginners
03:53:00 How to Become a Machine Learning Engineer?
04:02:31 Machine learning Engineer Skills
04:10:40 Machine Learning Roadmap
04:20:32 Machine Learning Tips
04:27:12 What is Generative AI?
04:40:42 Generative AI Examples
04:59:21 Generative AI Tools
05:20:46 What Are GANs?
05:33:08 Generate Images Using DC-GAN
05:57:41 Transformers In Gen AI
06:05:20 Generative AI Course - Part 1 - What is LLM?
06:25:04 Generative AI Course - Part 2 - What is LangChain?
06:42:19 Generative AI Course - Part 3 - What is RAG?
07:05:11 Prompt Engineering Explained
07:18:56 Prompt Engineering for Code Generation
07:28:16 Building a Chatbot with Prompt Engineering
07:44:10 GitHub Copilot
08:01:36 OpenAI API using Python
08:09:51 Midjourney
08:28:12 Generative AI in Marketing
08:38:42 Exploring the Ethics of Generative AI
08:46:12 Nvidia's Latest Breakthrough in Generative AI
08:52:49 DeepSeek vs OpenAI: Who Wins the AI Race?
09:05:22 The Future of Generative AI and Job Opportunities
09:11:06 GenAI Roadmap
09:19:51 Generative AI Interview Questions
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📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4
📝Feel free to share your comments below.📝
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"Draw up your travel plan on a large scale - and let yourself be carried away by the colorful hour in detail. The greatest attraction there is is the world - take a look at it!" Kurt Tucholsky
In the months when the hours of sunshine are shortest in the north, shortly before and after the never-ending polar night, Norway shows itself in the most beautiful colors. Whether it's the sunrises that turn into sunsets or the northern lights that color the sky, it's far less dreary and gray than we sometimes imagine.
Follow the trips to Norway, Iceland and many more on Instagram: https://www.instagr.am/ronald_soethje/
Discover Norway the land of the northern lights with its fjords and mountains in the south, the magical archipelago of Lofoten, the incredibly beautiful Senja and the endless fjords and islands around Tromsø.
Recorded with cameras in a resolution of over 8k and finished in HDR (High Dynamic Range / HDR 10). Norway looks best on real ultra high definition HDR display.
#Norge #Norway #8kHDR #HDR #Timelapse