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Linkedin - Prompt Engineering with LangChain
magnet:?xt=urn:btih:9fec447f8321d53aa89144c4bce28e48f8c18b6b&dn=Linkedin - Prompt Engineering with LangChain
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Hash值:
9fec447f8321d53aa89144c4bce28e48f8c18b6b
点击数:
4
文件大小:
1.3 GB
文件数量:
47
创建日期:
2025-4-26 14:39
最后访问:
2025-4-28 01:04
访问标签:
Linkedin
-
Prompt
Engineering
with
LangChain
文件列表详情
1. Introduction/1. Create powerful LLM driven applications.mp4 11.68 MB
2. Introduction to Language Models/1. What are language models.mp4 9.09 MB
3. LLMs and Text Generation/1. How do language models generate text.mp4 12.5 MB
3. LLMs and Text Generation/2. Base LLMs vs. instruction-tuned LLMs.mp4 34.96 MB
3. LLMs and Text Generation/3. Training fine-tuning and in-context learning.mp4 10.64 MB
3. LLMs and Text Generation/4. Prompt engineering.mp4 11.95 MB
4. Components of LangChain/1. What is LangChain.mp4 9.57 MB
4. Components of LangChain/2. LangChain overview.mp4 8.81 MB
4. Components of LangChain/3. Model I O- Interface with language models.mp4 85.23 MB
4. Components of LangChain/4. Retrieval- Interface with application-specific data.mp4 58.42 MB
4. Components of LangChain/5. Chains- Construct sequences of calls.mp4 74.79 MB
4. Components of LangChain/6. Agents- Let chains choose tools based on high-level directives.mp4 55.39 MB
4. Components of LangChain/7. Memory- Persist application state between runs of a chain.mp4 40.31 MB
5. Basics of Prompting/1. Prompt basics.mp4 4.19 MB
5. Basics of Prompting/2. Principles and tactics for prompting.mp4 30.73 MB
6. Prompt Templates Deep Dive/1. Introduction to prompt templates.mp4 26.6 MB
6. Prompt Templates Deep Dive/10. Few-shot prompt templates.mp4 33.92 MB
6. Prompt Templates Deep Dive/11. Few-shot prompt templates for chat.mp4 22.25 MB
6. Prompt Templates Deep Dive/12. Introduction to example selectors.mp4 10.73 MB
6. Prompt Templates Deep Dive/13. Length-based example selector.mp4 11.38 MB
6. Prompt Templates Deep Dive/14. Max marginal relevance example selector.mp4 17.44 MB
6. Prompt Templates Deep Dive/15. N-gram overlap example selector.mp4 30.06 MB
6. Prompt Templates Deep Dive/16. Semantic similarity example selector.mp4 13.09 MB
6. Prompt Templates Deep Dive/17. Partial prompt templates.mp4 15.73 MB
6. Prompt Templates Deep Dive/2. Multi-input prompt templates.mp4 20.38 MB
6. Prompt Templates Deep Dive/3. Chat prompt template.mp4 21.57 MB
6. Prompt Templates Deep Dive/4. Serializing prompts.mp4 10.55 MB
6. Prompt Templates Deep Dive/5. Zero-shot prompts.mp4 21.09 MB
6. Prompt Templates Deep Dive/6. Custom prompt templates.mp4 31.22 MB
6. Prompt Templates Deep Dive/7. Prompt pipelining.mp4 25.78 MB
6. Prompt Templates Deep Dive/8. Chat prompt pipelining.mp4 13.17 MB
6. Prompt Templates Deep Dive/9. Prompt composition.mp4 18.03 MB
7. Prompting Techniques/1. Chain of thought.mp4 38.91 MB
7. Prompting Techniques/2. Self-consistency.mp4 29.64 MB
7. Prompting Techniques/3. Self-ask.mp4 50.98 MB
7. Prompting Techniques/4. ReAct.mp4 39.69 MB
7. Prompting Techniques/5. RAG.mp4 80.69 MB
7. Prompting Techniques/6. FLARE.mp4 50.52 MB
7. Prompting Techniques/7. Plan and execute.mp4 56.84 MB
8. Prompt Management a.k.a. PromptOps/1. Prompt management.mp4 5.62 MB
8. Prompt Management a.k.a. PromptOps/2. LangSmith.mp4 3.79 MB
8. Prompt Management a.k.a. PromptOps/3. LangSmith walkthrough.mp4 24.45 MB
8. Prompt Management a.k.a. PromptOps/4. Prompt versioning in LangSmith.mp4 40.7 MB
8. Prompt Management a.k.a. PromptOps/5. LangSmith deep dive.mp4 48.55 MB
8. Prompt Management a.k.a. PromptOps/6. Managing prompt length for agents.mp4 33.02 MB
9. The LLM Landscape/1. Applications of language models.mp4 10.05 MB
9. The LLM Landscape/2. The LLM landscape.mp4 11.86 MB
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