Linkedin - Prompt Engineering with LangChain

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Linkedin - Prompt Engineering with LangChain

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收录时间：2024-05-15
最近下载：2024-11-24

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文件列表

  • 4. Components of LangChain/3. Model I O- Interface with language models.mp4 89.4 MB
  • 7. Prompting Techniques/5. RAG.mp4 84.6 MB
  • 4. Components of LangChain/5. Chains- Construct sequences of calls.mp4 78.4 MB
  • 4. Components of LangChain/4. Retrieval- Interface with application-specific data.mp4 61.3 MB
  • 7. Prompting Techniques/7. Plan and execute.mp4 59.6 MB
  • 4. Components of LangChain/6. Agents- Let chains choose tools based on high-level directives.mp4 58.1 MB
  • 7. Prompting Techniques/3. Self-ask.mp4 53.5 MB
  • 7. Prompting Techniques/6. FLARE.mp4 53.0 MB
  • 8. Prompt Management a.k.a. PromptOps/5. LangSmith deep dive.mp4 50.9 MB
  • 8. Prompt Management a.k.a. PromptOps/4. Prompt versioning in LangSmith.mp4 42.7 MB
  • 4. Components of LangChain/7. Memory- Persist application state between runs of a chain.mp4 42.3 MB
  • 7. Prompting Techniques/4. ReAct.mp4 41.6 MB
  • 7. Prompting Techniques/1. Chain of thought.mp4 40.8 MB
  • 3. LLMs and Text Generation/2. Base LLMs vs. instruction-tuned LLMs.mp4 36.7 MB
  • 6. Prompt Templates Deep Dive/10. Few-shot prompt templates.mp4 35.6 MB
  • 8. Prompt Management a.k.a. PromptOps/6. Managing prompt length for agents.mp4 34.6 MB
  • 6. Prompt Templates Deep Dive/6. Custom prompt templates.mp4 32.7 MB
  • 5. Basics of Prompting/2. Principles and tactics for prompting.mp4 32.2 MB
  • 6. Prompt Templates Deep Dive/15. N-gram overlap example selector.mp4 31.5 MB
  • 7. Prompting Techniques/2. Self-consistency.mp4 31.1 MB
  • 6. Prompt Templates Deep Dive/1. Introduction to prompt templates.mp4 27.9 MB
  • 6. Prompt Templates Deep Dive/7. Prompt pipelining.mp4 27.0 MB
  • 8. Prompt Management a.k.a. PromptOps/3. LangSmith walkthrough.mp4 25.6 MB
  • 6. Prompt Templates Deep Dive/11. Few-shot prompt templates for chat.mp4 23.3 MB
  • 6. Prompt Templates Deep Dive/3. Chat prompt template.mp4 22.6 MB
  • 6. Prompt Templates Deep Dive/5. Zero-shot prompts.mp4 22.1 MB
  • 6. Prompt Templates Deep Dive/2. Multi-input prompt templates.mp4 21.4 MB
  • 6. Prompt Templates Deep Dive/9. Prompt composition.mp4 18.9 MB
  • 6. Prompt Templates Deep Dive/14. Max marginal relevance example selector.mp4 18.3 MB
  • 6. Prompt Templates Deep Dive/17. Partial prompt templates.mp4 16.5 MB
  • 6. Prompt Templates Deep Dive/8. Chat prompt pipelining.mp4 13.8 MB
  • 6. Prompt Templates Deep Dive/16. Semantic similarity example selector.mp4 13.7 MB
  • 3. LLMs and Text Generation/1. How do language models generate text.mp4 13.1 MB
  • 3. LLMs and Text Generation/4. Prompt engineering.mp4 12.5 MB
  • 9. The LLM Landscape/2. The LLM landscape.mp4 12.4 MB
  • 1. Introduction/1. Create powerful LLM driven applications.mp4 12.2 MB
  • 6. Prompt Templates Deep Dive/13. Length-based example selector.mp4 11.9 MB
  • 6. Prompt Templates Deep Dive/12. Introduction to example selectors.mp4 11.2 MB
  • 3. LLMs and Text Generation/3. Training fine-tuning and in-context learning.mp4 11.2 MB
  • 6. Prompt Templates Deep Dive/4. Serializing prompts.mp4 11.1 MB
  • 9. The LLM Landscape/1. Applications of language models.mp4 10.5 MB
  • 4. Components of LangChain/1. What is LangChain.mp4 10.0 MB
  • 2. Introduction to Language Models/1. What are language models.mp4 9.5 MB
  • 4. Components of LangChain/2. LangChain overview.mp4 9.2 MB
  • 8. Prompt Management a.k.a. PromptOps/1. Prompt management.mp4 5.9 MB
  • 5. Basics of Prompting/1. Prompt basics.mp4 4.4 MB
  • 8. Prompt Management a.k.a. PromptOps/2. LangSmith.mp4 4.0 MB
  • Ex_Files_Prompt_Engineering_LangChain.zip 227.0 kB

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