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Linkedin - Prompt Engineering with LangChain

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