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Linkedin - Prompt Engineering with LangChain

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文件列表

  1. 4. Components of LangChain/3. Model I O- Interface with language models.mp4 85MB
  2. 7. Prompting Techniques/5. RAG.mp4 81MB
  3. 4. Components of LangChain/5. Chains- Construct sequences of calls.mp4 75MB
  4. 4. Components of LangChain/4. Retrieval- Interface with application-specific data.mp4 58MB
  5. 7. Prompting Techniques/7. Plan and execute.mp4 57MB
  6. 4. Components of LangChain/6. Agents- Let chains choose tools based on high-level directives.mp4 55MB
  7. 7. Prompting Techniques/3. Self-ask.mp4 51MB
  8. 7. Prompting Techniques/6. FLARE.mp4 51MB
  9. 8. Prompt Management a.k.a. PromptOps/5. LangSmith deep dive.mp4 49MB
  10. 8. Prompt Management a.k.a. PromptOps/4. Prompt versioning in LangSmith.mp4 41MB
  11. 4. Components of LangChain/7. Memory- Persist application state between runs of a chain.mp4 40MB
  12. 7. Prompting Techniques/4. ReAct.mp4 40MB
  13. 7. Prompting Techniques/1. Chain of thought.mp4 39MB
  14. 3. LLMs and Text Generation/2. Base LLMs vs. instruction-tuned LLMs.mp4 35MB
  15. 6. Prompt Templates Deep Dive/10. Few-shot prompt templates.mp4 34MB
  16. 8. Prompt Management a.k.a. PromptOps/6. Managing prompt length for agents.mp4 33MB
  17. 6. Prompt Templates Deep Dive/6. Custom prompt templates.mp4 31MB
  18. 5. Basics of Prompting/2. Principles and tactics for prompting.mp4 31MB
  19. 6. Prompt Templates Deep Dive/15. N-gram overlap example selector.mp4 30MB
  20. 7. Prompting Techniques/2. Self-consistency.mp4 30MB
  21. 6. Prompt Templates Deep Dive/1. Introduction to prompt templates.mp4 27MB
  22. 6. Prompt Templates Deep Dive/7. Prompt pipelining.mp4 26MB
  23. 8. Prompt Management a.k.a. PromptOps/3. LangSmith walkthrough.mp4 24MB
  24. 6. Prompt Templates Deep Dive/11. Few-shot prompt templates for chat.mp4 22MB
  25. 6. Prompt Templates Deep Dive/3. Chat prompt template.mp4 22MB
  26. 6. Prompt Templates Deep Dive/5. Zero-shot prompts.mp4 21MB
  27. 6. Prompt Templates Deep Dive/2. Multi-input prompt templates.mp4 20MB
  28. 6. Prompt Templates Deep Dive/9. Prompt composition.mp4 18MB
  29. 6. Prompt Templates Deep Dive/14. Max marginal relevance example selector.mp4 17MB
  30. 6. Prompt Templates Deep Dive/17. Partial prompt templates.mp4 16MB
  31. 6. Prompt Templates Deep Dive/8. Chat prompt pipelining.mp4 13MB
  32. 6. Prompt Templates Deep Dive/16. Semantic similarity example selector.mp4 13MB
  33. 3. LLMs and Text Generation/1. How do language models generate text.mp4 12MB
  34. 3. LLMs and Text Generation/4. Prompt engineering.mp4 12MB
  35. 9. The LLM Landscape/2. The LLM landscape.mp4 12MB
  36. 1. Introduction/1. Create powerful LLM driven applications.mp4 12MB
  37. 6. Prompt Templates Deep Dive/13. Length-based example selector.mp4 11MB
  38. 6. Prompt Templates Deep Dive/12. Introduction to example selectors.mp4 11MB
  39. 3. LLMs and Text Generation/3. Training fine-tuning and in-context learning.mp4 11MB
  40. 6. Prompt Templates Deep Dive/4. Serializing prompts.mp4 11MB
  41. 9. The LLM Landscape/1. Applications of language models.mp4 10MB
  42. 4. Components of LangChain/1. What is LangChain.mp4 10MB
  43. 2. Introduction to Language Models/1. What are language models.mp4 9MB
  44. 4. Components of LangChain/2. LangChain overview.mp4 9MB
  45. 8. Prompt Management a.k.a. PromptOps/1. Prompt management.mp4 6MB
  46. 5. Basics of Prompting/1. Prompt basics.mp4 4MB
  47. 8. Prompt Management a.k.a. PromptOps/2. LangSmith.mp4 4MB
  48. Ex_Files_Prompt_Engineering_LangChain.zip 222KB