Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/005. 5.4 Case Study Predicting with Android App Reviews Part 2.mp4-224.34 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation BOT with ChatGPT and GPT-4.mp4-170.8 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4-160.95 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/004. 7.3 Fine-tuning an Embedding Model to Capture User Behavior.mp4-152.09 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4-148.61 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/005. 9.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4-105.41 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/004. 4.3 Using Open Source Models with RAG.mp4-103.61 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/005. 10.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses Sawye.mp4-100.07 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4-97.86 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/003. 8.2 Evaluating Alignment Plus Ethics.mp4-91.52 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4-64.18 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/004. 6.3 Chain-of-Thought Prompting.mp4-60.08 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/006. 9.5 Introduction to Reinforcement Learning from Feedback.mp4-58.54 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/002. 10.1 BERT for Multi-label Classification Part 1.mp4-55.19 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4-54.13 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/002. 7.1 Case Study Building an Anime Recommendation System.mp4-53.87 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/005. 12.4 Probing LLMs for world model.mp4-48.76 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/002. 6.1 InputOutput Validation.mp4-46.03 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/003. 6.2 Batch Prompting + Prompt Chaining.mp4-40.08 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/002. 11.1 Cost Projecting and Deploying LLMs to Production.mp4-39.86 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/004. 5.3 Case Study Predicting with Android App Reviews Part 1.mp4-37.35 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/003. 5.2 The OpenAI Fine-Tuning API.mp4-29.78 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/006. 6.5 Assessing an LLM s Encoded Knowledge Level.mp4-27.96 MB