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This Convolutional neural network tutorial (CNN) will help you understand what is a convolutional neural network, how CNN recognizes images, what are layers in the convolutional neural network and at the end, you will see a use case implementation using CNN. A CNN is also known as a "ConvNet". Convolutional networks can also perform optical character recognition to digitize text and make natural-language processing possible on analog and hand-written documents. CNN can also be applied to sound when it is represented visually as a spectrogram. Now, let's deep dive into this video to understand what is CNN and how do they actually work.

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Below topics are explained in this CNN tutorial (Convolutional Neural Network Tutorial)
1. Introduction to CNN
2. What is a convolutional neural network?
3. How CNN recognizes images?
4. Layers in convolutional neural network
5. Use case implementation using CNN

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#DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse

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Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:

1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build deep learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks

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Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Людям сложно оценить вероятности и количество всевозможных задач, парадоксов и видео на эту тему — тому подтверждение. Правильные решения кажутся абсолютно нелогичными и полагаться приходится лишь на строгие и точные расчеты, но в этом видео Veritasium Дерек Маллер расскажет о задаче, которая не дает покоя математикам и философам вот уже два десятилетия.

Задача о 100 заключённых [Veritasium]: https://youtu.be/wWQ9YdreY9c
Ловушка Байеса [Veritasium]: https://youtu.be/KQqJmeXWrwk
Согласны ли вы рискнуть? [Veritasium]: https://youtu.be/SYmVd-ewAe8
Теорема Байеса [3Blue1Brown]: https://youtu.be/_bcAK_1a72k
Биномиальное распределение [3Blue1Brown]: https://youtu.be/kkgE50r6kIM
Нулевая вероятность не значит «невозможно» [3Blue1Brown]: https://youtu.be/aoml_Y4DWss

Перевод: Елена Смотрова
Редактура: Алексей Малов
Озвучка: Дмитрий Чепусов, Лиза Чабан
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Vitaliy Vachynyuk, Aleksandr P., Мikhail Samin, Dmitrii Komarevtsev, Roman Inflianskas, Oleg Zingilevskiy, opperatius, Alena, Ника Калмыкова, Куляш, Anton Bolotov, Eugene Tsaplin, Anatoly Ressin, Anpat, Katoto Chan, Pavel Parpura, JIukaviy, angel, Vladyslav Sokolenko, Timur Sattarov, Victor Cazacov, Kirill Zaslavskii, Ihar Marozau, Artem Amirbekov, Dzmitryi Halyava, Aleksei Shabalin, Kseniya Stukova, Irina Shakhverdova, Vadim Velicodnii, Stanislav Obrazcoff, POD666, Janis Riekstins, Oleksandr Hrebeniuk, Sergey P, Павел Приступа, Anna Ostrovskaya, Валентин Матвейчик, Leonid Steinberg, Ilya, Alexander Goida, Katya Ma, Morock_D, Evgeny Vrublevsky, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rincewind, Sonra44, Ranis Zaripov, Alexey Tyurnin, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/XeSu9fBJ2sI

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Самый сильный в мире магнит способен создать поле в миллион раз сильнее магнитного поля Земли. С его помощью можно поднять в воздух ягоды, кусочки пиццы и даже животных. Как, а главное зачем такой магнит работает, расскажет Дерек Маллер в новом видео Veritasium о Национальной лаборатории сильных магнитных полей в Таллахасси.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин, Александр Цимеринов
Озвучка: Дмитрий Чепусов, Алексей Никитин, Владимир Курдов, Дмитрий Машкович, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Vitaliy Vachynyuk, Aleksandr P., Мikhail Samin, Dmitrii Komarevtsev, Roman Inflianskas, Oleg Zingilevskiy, opperatius, Alena, Ника Калмыкова, Куляш, Anton Bolotov, Eugene Tsaplin, Anatoly Ressin, Anpat, Katoto Chan, Pavel Parpura, JIukaviy, angel, Vladyslav Sokolenko, Timur Sattarov, Victor Cazacov, Kirill Zaslavskii, Ihar Marozau, Artem Amirbekov, Dzmitryi Halyava, Aleksei Shabalin, Kseniya Stukova, Irina Shakhverdova, Vadim Velicodnii, Stanislav Obrazcoff, POD666, Janis Riekstins, Oleksandr Hrebeniuk, Sergey P, Павел Приступа, Anna Ostrovskaya, Валентин Матвейчик, Leonid Steinberg, Ilya, Alexander Goida, Katya Ma, Morock_D, Evgeny Vrublevsky, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rincewind, Sonra44, Ranis Zaripov, Alexey Tyurnin, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/g0amdIcZt5I

Large Language Models like ChatGPT have remarkable abilities to generate content based on training data but do they have actual intelligence? Find out more about how LLM's and Chatbots work as we explore this question.

Featuring:
Mira Murati the CTO of OpenAI
Cristóbal Valenzuela the creator of Runway

Presented by: Code.org, ETS, ISTE, Khan Academy

Start learning today!
https://code.org/ai/how-ai-works

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Welcome to ChatGPT full course for beginners 2023!
ChatGPT, a game changer in artificial intelligence. Developed using OpenAI's advanced GPT-3.5 architecture, ChatGPT is designed to engage, educate, and entertain. With a vast pool of knowledge and the ability to tailor responses to individual preferences, ChatGPT is here to offer valuable insights, respond to questions, and initiate engaging conversations. Whether you want to explore a wide range of topics or seek assistance with creative projects, ChatGPT is ready to embark on a journey of discovery with you. Whether you're a marketing expert, cybersecurity specialist, a developer, or a blogger, ChatGPT is your ideal companion! Chat GPT currently has more than 100 million users, and this ai technology is gaining huge fame with time.

00:00 ChatGPT Full Course For Beginners 2023
02:22 Top AI Tools
07:50 What is GPT 4?
13:52 Automate Excel using ChatGPT
01:24:12 How to Build a Website Using ChatGPT
02:06:35 How To Use ChatGPT For Web Development
02:32:22 Can ChatGPT Solve LeetCode Problems?
04:02:21 Create a Telegram Bot Using ChatGPT
04:19:21 Automate WhatsApp using ChatGPT
04:29:45 Build a Game using Python and ChatGPT
04:54:25 ChatGPT in Cybersecurity
05:24:09 ChatGPT for UI/UX Design
06:10:28 How to use ChatGPT for SEO?
07:02:19 Chat GPT for Content Creation
07:06:14 Master SEO Content Using ChatGPT
07:15:10 Will ChatGPT and Bard Take Over SEO?
07:21:58 ChatGPT for Marketing
07:31:53 Top 10 Chat GPT Use Cases
07:57:03 9 Ways to Make Money Online Using ChatGPT
08:20:20 Bing vs Bard vs ChatGPT : Comparison

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#ChatGPTFullCourseForBeginners #HowtoUseChatGPTForBeginners2023 #ChatGPTTutorial #ChatGPTCompleteCourse #ChatGPTFullCourse #ChatGPTCourse #ChatGPTExpert #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTOpenAI #Simplilearn

➡️ 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

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- Exclusive hackathons and Ask me Anything sessions by IBM
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- 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
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- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
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- And Many More…

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🔴 큰 폭풍우가 자정에 도시를 강타하여 숙면을 취하도록 돕습니다

https://www.youtube.com/channe....l/UCt72qEUCgc_o-r2Uh

🌿 휴식, 명상, 공부, 독서, 마사지, 스파 또는 수면을 위한 편안한 비 음악. 이 빗소리는 이완을 촉진하고 나쁜 진동을 제거하는 데 도움이 되므로 불안, 스트레스 또는 불면증에 이상적입니다. 그들은 또한 이 비의 음악을 명상이나 잠자는 동안 휴식을 위한 배경으로 사용할 수 있습니다.
🌿 "Storm Power" 채널의 새로운 편안한 라이브 음악 프로그램에 오신 것을 환영합니다. 비디오 볼륨을 낮추고 공부, 일, 독서 등 원하는 모든 일을 시작할 수 있습니다.
음악 대상: 힐링 음악, 힐링 음악, 편안한 음악, 치료 음악, 치료 음악, 영혼 음악, 잠자는 음악, 진정 음악, 편안한 음악, 자장가, 레이키 음악, 세션 음악, 음악 음악, 신경질적인 음악, 사랑의 음악, 심장 음악, 부드러운 음악, 슬픈 음악, 좋은 음악, 직장 음악, 건강 음악, 스트레스 해소, 요가, 스파.
🌿 바탕 화면 작성자 : Storm Power

---------------------------------------------------

►모든 권리는 해당 소유자에게 있습니다.
✔ 본 영상은

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube

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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#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

This video covers about Small Language Models with a cast study

⏱ Chapter Timestamps
====================
00:00 - Intro
00:28 - What is Small Language Model
02:31 - Need for SLMs?
03:00 - Case Study: Offline Applications
05:06 - SLMs in the market

Join this channel by contributing to the community:
https://www.youtube.com/channe....l/UCB12jjYsYv-eipCvB

📌 Related Links
=============
🔗CoPilot+PCs - https://www.youtube.com/watch?v=5JmkWJNng2I

📌 Related Playlist
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🔗 AI Primer Playlist - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
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🎬 Video Editing: FCP

---------------------------------------------------------------
🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms.
#SmallLanguageModel #LLMs #RAG

🧪AI Agents Labs for Free: https://kode.wiki/3Wh4DZ6

Learn everything about AI agents from scratch in this comprehensive tutorial. No prior knowledge required. We'll take you from zero to building production-ready AI systems with hands-on labs.

🎯 What You'll Learn:
• AI Fundamentals - LLMs, tokens, embeddings, and context windows
• LangChain - Simplify AI development with pre-built components
• Prompt Engineering - Zero-shot, few-shot, and chain-of-thought techniques
• Vector Databases - Semantic search with ChromaDB and Pinecone
• RAG (Retrieval Augmented Generation) - Build intelligent document search
• LangGraph - Create multi-step AI workflows and agents
• MCP (Model Context Protocol) - Connect AI to external tools

🔧 Hands-On Labs Include:
✓ Making your first OpenAI API calls
✓ Building semantic search engines
✓ Creating RAG systems for document retrieval
✓ Developing multi-agent workflows
✓ Integrating external tools with MCP

Perfect for developers, data scientists, and anyone wanting to understand modern AI development. Follow along with free labs and build a real-world AI assistant that searches 500GB of documents in under 30 seconds.

🚨Start Your AI Journey with KodeKloud: https://kode.wiki/4qsrspX

⏰ TIMESTAMPS:
00:00 - Introduction to AI Agents
00:40 - How LLMs work in real time?
04:56 - Embeddings & Vector Representations
05:56 - How LangChain works?
10:12 - Practice Labs - Your First AI API Call
14:57 - Practice Labs - LangChain
17:57 - Prompt Engineering Techniques
21:21 - Practice Labs - Master Prompt Engineering
24:46 - Vector Databases Deep Dive
31:27 - Practice Labs - Build Semantic Search Engine
35:15 - RAG (Retrieval Augmented Generation)
38:14 - Practice Labs - RAG Implementation
42:14 - LangGraph for AI Workflows
45:51 - Practice Labs - Build Stateful AI Workflow
48:51 - Model Context Protocol (MCP)
51:56 - Practice Labs - Advanced MCP Concepts
55:21 - Conclusion

🔔 Subscribe to KodeKloud for more AI development tools and tutorials!

#AiAgents #AI #Aifundamentals #LangChain #MCP #LLMs #RAG #Langgraph #vectordb #promptengineering #VectorDatabases #Tutorial #kodekloud

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

This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques
Github Links
Langchain : https://github.com/krishnaik06..../Langchain-V1-Crash-
Langgraph: https://github.com/krishnaik06..../Agentic-LanggraphCr
RAG: https://github.com/krishnaik06/RAG-Tutorials
Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb
Deep Agents: https://drive.google.com/file/....d/1SVjvgqvKfF-FPAIqp
Guardrails : https://github.com/krishnaik06..../Langchain-V1-Crash-/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb
LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb
LLM Gateways: https://github.com/krishnaik06..../Langchain-V1-Crash-/blob/main/llm_gateway_tutorial.ipynb

Timestamp
00:00:00 Introduction
00:02:31 Langchain Course
02:35:12 Langraph Course
05:02:29 RAG Course
07:10:43 Vectorless RAG
08:02:11 Deep Agents
08:45:43 Guardrails
09:22:55 LLM Evaluation
10:30:25 LLM Gateways
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Learn from us visit https://krishnaik.in/liveclasses