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种子名称： Linkedin - Prompt Engineering with LangChain
文件类型： 视频
文件数目： 47个文件
文件大小： 1.3 GB
收录时间： 2025-4-26 14:39
已经下载： 3次
资源热度： 7
最近下载： 2025-5-1 21:08

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Linkedin - Prompt Engineering with LangChain.torrent

1. Introduction/1. Create powerful LLM driven applications.mp411.68MB

2. Introduction to Language Models/1. What are language models.mp49.09MB

3. LLMs and Text Generation/1. How do language models generate text.mp412.5MB

3. LLMs and Text Generation/2. Base LLMs vs. instruction-tuned LLMs.mp434.96MB

3. LLMs and Text Generation/3. Training fine-tuning and in-context learning.mp410.64MB

3. LLMs and Text Generation/4. Prompt engineering.mp411.95MB

4. Components of LangChain/1. What is LangChain.mp49.57MB

4. Components of LangChain/2. LangChain overview.mp48.81MB

4. Components of LangChain/3. Model I O- Interface with language models.mp485.23MB

4. Components of LangChain/4. Retrieval- Interface with application-specific data.mp458.42MB

4. Components of LangChain/5. Chains- Construct sequences of calls.mp474.79MB

4. Components of LangChain/6. Agents- Let chains choose tools based on high-level directives.mp455.39MB

4. Components of LangChain/7. Memory- Persist application state between runs of a chain.mp440.31MB

5. Basics of Prompting/1. Prompt basics.mp44.19MB

5. Basics of Prompting/2. Principles and tactics for prompting.mp430.73MB

6. Prompt Templates Deep Dive/1. Introduction to prompt templates.mp426.6MB

6. Prompt Templates Deep Dive/10. Few-shot prompt templates.mp433.92MB

6. Prompt Templates Deep Dive/11. Few-shot prompt templates for chat.mp422.25MB

6. Prompt Templates Deep Dive/12. Introduction to example selectors.mp410.73MB

6. Prompt Templates Deep Dive/13. Length-based example selector.mp411.38MB

6. Prompt Templates Deep Dive/14. Max marginal relevance example selector.mp417.44MB

6. Prompt Templates Deep Dive/15. N-gram overlap example selector.mp430.06MB

6. Prompt Templates Deep Dive/16. Semantic similarity example selector.mp413.09MB

6. Prompt Templates Deep Dive/17. Partial prompt templates.mp415.73MB

6. Prompt Templates Deep Dive/2. Multi-input prompt templates.mp420.38MB

6. Prompt Templates Deep Dive/3. Chat prompt template.mp421.57MB

6. Prompt Templates Deep Dive/4. Serializing prompts.mp410.55MB

6. Prompt Templates Deep Dive/5. Zero-shot prompts.mp421.09MB

6. Prompt Templates Deep Dive/6. Custom prompt templates.mp431.22MB

6. Prompt Templates Deep Dive/7. Prompt pipelining.mp425.78MB

6. Prompt Templates Deep Dive/8. Chat prompt pipelining.mp413.17MB

6. Prompt Templates Deep Dive/9. Prompt composition.mp418.03MB

7. Prompting Techniques/1. Chain of thought.mp438.91MB

7. Prompting Techniques/2. Self-consistency.mp429.64MB

7. Prompting Techniques/3. Self-ask.mp450.98MB

7. Prompting Techniques/4. ReAct.mp439.69MB

7. Prompting Techniques/5. RAG.mp480.69MB

7. Prompting Techniques/6. FLARE.mp450.52MB

7. Prompting Techniques/7. Plan and execute.mp456.84MB

8. Prompt Management a.k.a. PromptOps/1. Prompt management.mp45.62MB

8. Prompt Management a.k.a. PromptOps/2. LangSmith.mp43.79MB

8. Prompt Management a.k.a. PromptOps/3. LangSmith walkthrough.mp424.45MB

8. Prompt Management a.k.a. PromptOps/4. Prompt versioning in LangSmith.mp440.7MB

8. Prompt Management a.k.a. PromptOps/5. LangSmith deep dive.mp448.55MB

8. Prompt Management a.k.a. PromptOps/6. Managing prompt length for agents.mp433.02MB

9. The LLM Landscape/1. Applications of language models.mp410.05MB

9. The LLM Landscape/2. The LLM landscape.mp411.86MB