Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI

File Information:
  1. Magnet Link:Magnet LinkMagnet Link
  2. File Size:4.21 GB
  3. Creat Time:2024-09-04
  4. Active Degree:237
  5. Last Active:2024-11-19
  6. File Tags:Quick  Start  Guide  to  Large  Language  Models  LLMs  ChatGPT  Llama  Embeddings  Fine  Tuning  and  Multimodal  AI  
  7. Statement:This site does not provide download links, only text displays, and does not contain any infringement.
File List:

    Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI

  1. 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 229.73 MB
  2. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/006. 10.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4 176.35 MB
  3. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/008. 10.7 Instruction Alignment of LLMs RLHF.mp4 168.09 MB
  4. 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 164.81 MB
  5. 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 155.74 MB
  6. Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4 152.18 MB
  7. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/007. 10.6 Instruction Alignment of LLMs Reward Modeling.mp4 147.28 MB
  8. Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/007. 9.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4 133.19 MB
  9. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/003. 10.2 BERT for Multi-label Classification Part 2.mp4 128.26 MB
  10. Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4 124.78 MB
  11. Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/002. 1.1 What Are Large Language Models.mp4 123.77 MB
  12. Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/003. 7.2 Using OpenAI s Embedded Models.mp4 123.45 MB
  13. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/009. 10.8 Instruction Alignment of LLMs Using Our Instruction-Aligned LLM.mp4 121.85 MB
  14. Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/005. 4.4 Expanding into AI Agents.mp4 119.44 MB
  15. Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/003. 4.2 Building a RAG bot.mp4 116.05 MB
  16. Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/004. 9.3 Case Study Visual QA Setting Up Our Model.mp4 115.63 MB
  17. Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/003. 11.2 Knowledge Distillation.mp4 110.52 MB
  18. Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/003. 12.2 Evaluating Generative Tasks Part 2.mp4 110.14 MB
  19. 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 107.94 MB
  20. Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/004. 4.3 Using Open Source Models with RAG.mp4 106.10 MB
  21. Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/004. 12.3 Evaluating Understanding Tasks.mp4 103.22 MB
  22. 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 102.47 MB
  23. Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4 100.21 MB
  24. Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/003. 8.2 Evaluating Alignment Plus Ethics.mp4 93.72 MB
  25. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/004. 10.3 Writing LaTeX with GPT-2.mp4 92.15 MB
  26. Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/002. 8.1 Introduction to AI Alignment.mp4 73.77 MB
  27. Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/002. 12.1 Evaluating Generative Tasks Part 1.mp4 73.23 MB
  28. Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4 65.72 MB
  29. Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/004. 6.3 Chain-of-Thought Prompting.mp4 61.52 MB
  30. Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/006. 9.5 Introduction to Reinforcement Learning from Feedback.mp4 59.94 MB
  31. Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/002. 10.1 BERT for Multi-label Classification Part 1.mp4 56.52 MB
  32. Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4 55.43 MB
  33. 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 55.16 MB
  34. Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/005. 12.4 Probing LLMs for world model.mp4 49.93 MB
  35. Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/002. 6.1 InputOutput Validation.mp4 47.13 MB
  36. Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/003. 6.2 Batch Prompting + Prompt Chaining.mp4 41.04 MB
  37. Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/002. 11.1 Cost Projecting and Deploying LLMs to Production.mp4 40.81 MB
  38. 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 38.24 MB
  39. Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/003. 5.2 The OpenAI Fine-Tuning API.mp4 30.49 MB
  40. Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/006. 6.5 Assessing an LLM s Encoded Knowledge Level.mp4 28.63 MB
  41. Module 3 Advanced LLM Usage/001. Module Introduction.mp4 28.15 MB
  42. Summary/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Summary.mp4 27.69 MB
  43. Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/002. 5.1 Transfer Learning A Primer.mp4 26.80 MB
  44. Introduction/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Introduction.mp4 23.08 MB
  45. Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4 22.96 MB
  46. Module 1 Introduction to Large Language Models/001. Module Introduction.mp4 22.50 MB
  47. Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/005. 6.4 Preventing Prompt Injection Attacks.mp4 22.02 MB
  48. Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4 20.15 MB
  49. Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/003. 9.2 Using Cross Attention to Mix Data Modalities.mp4 18.14 MB
  50. Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4 16.65 MB