Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.mp4

Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.mp4

Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4

Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.mp4

Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.mp4

Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4

Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.mp4

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.mp4

Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.mp4

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.mp4

Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.mp4

z.quick-start-guide-to-llms-main/data/comparison_data_v2.json

Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.mp4

Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.mp4

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.mp4

Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.mp4

Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.mp4

Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.mp4

Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4

Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.mp4

Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.mp4

Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.mp4

Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.mp4

Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.mp4

Summary/001. Quick Guide to Large Language Models Summary.mp4

Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4

Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.mp4

Introduction/001. Quick Guide to Large Language Models Introduction.mp4

Module 3 Advanced LLM Usage/001. Module Introduction.mp4

Module 1 Introduction to Large Language Models/001. Module Introduction.mp4

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.mp4

Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4

Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4

z.quick-start-guide-to-llms-main/data/pds2.pdf

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.mp4

Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.mp4

Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.mp4

Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.mp4

Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.mp4

Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.mp4

Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.mp4