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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. Bonus Resources.txt 70 bytes
  3. 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Introduction.en.srt 1.7 KB
  4. 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Introduction.mp4 11.5 MB
  5. 001. Topics.en.srt 965 bytes
  6. 001. Topics.mp4 6.0 MB
  7. 002. 1.1 What Are Large Language Models.en.srt 10.8 KB
  8. 002. 1.1 What Are Large Language Models.mp4 120.7 MB
  9. 003. 1.2 Popular Modern LLMs.en.srt 25.5 KB
  10. 003. 1.2 Popular Modern LLMs.mp4 97.6 MB
  11. 004. 1.3 Applications of LLMs.en.srt 4.5 KB
  12. 004. 1.3 Applications of LLMs.mp4 16.2 MB
  13. 001. Topics.en.srt 739 bytes
  14. 001. Topics.mp4 4.3 MB
  15. 002. 2.1 Introduction to Semantic Search.en.srt 17.9 KB
  16. 002. 2.1 Introduction to Semantic Search.mp4 63.3 MB
  17. 003. 2.2 Building a Semantic Search System.en.srt 20.6 KB
  18. 003. 2.2 Building a Semantic Search System.mp4 148.8 MB
  19. 004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.en.srt 35.4 KB
  20. 004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4 161.3 MB
  21. 001. Topics.en.srt 784 bytes
  22. 001. Topics.mp4 5.3 MB
  23. 002. 3.1 Introduction to Prompt Engineering.en.srt 31.8 KB
  24. 002. 3.1 Introduction to Prompt Engineering.mp4 121.3 MB
  25. 003. 3.2 Working with Prompts Across Models.en.srt 5.4 KB
  26. 003. 3.2 Working with Prompts Across Models.mp4 22.4 MB
  27. 004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.en.srt 43.1 KB
  28. 004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.mp4 171.3 MB
  29. 001. Topics.en.srt 627 bytes
  30. 001. Topics.mp4 4.8 MB
  31. 002. 4.1 Introduction to Retrival Augmented Generation (RAG).en.srt 16.3 KB
  32. 002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4 54.9 MB
  33. 003. 4.2 Building a RAG Bot.en.srt 22.2 KB
  34. 003. 4.2 Building a RAG Bot.mp4 113.5 MB
  35. 004. 4.3 Using Open Source Models with RAG.en.srt 20.3 KB
  36. 004. 4.3 Using Open Source Models with RAG.mp4 103.9 MB
  37. 005. 4.4 Expanding into AI Agents.en.srt 22.4 KB
  38. 005. 4.4 Expanding into AI Agents.mp4 116.8 MB
  39. 001. Topics.en.srt 376 bytes
  40. 001. Topics.mp4 2.9 MB
  41. 002. 5.1 InputOutput Validation.en.srt 10.9 KB
  42. 002. 5.1 InputOutput Validation.mp4 45.6 MB
  43. 003. 5.2 Batch Prompting + Prompt Chaining.en.srt 9.2 KB
  44. 003. 5.2 Batch Prompting + Prompt Chaining.mp4 40.1 MB
  45. 004. 5.3 Chain-of-Thought Prompting.en.srt 17.9 KB
  46. 004. 5.3 Chain-of-Thought Prompting.mp4 59.9 MB
  47. 005. 5.4 Preventing Prompt Injection Attacks.en.srt 5.8 KB
  48. 005. 5.4 Preventing Prompt Injection Attacks.mp4 21.5 MB
  49. 006. 5.5 Assessing an LLM's Encoded Knowledge Level.en.srt 5.9 KB
  50. 006. 5.5 Assessing an LLM's Encoded Knowledge Level.mp4 27.8 MB
  51. 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Summary.en.srt 1.0 KB
  52. 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Summary.mp4 7.5 MB

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