| Linkedin - Prompt Engineering with LangChain/1. Introduction/1. Create powerful LLM driven applications.mp4 |
11.7 MB |
| Linkedin - Prompt Engineering with LangChain/2. Introduction to Language Models/1. What are language models.mp4 |
9.1 MB |
| Linkedin - Prompt Engineering with LangChain/3. LLMs and Text Generation/1. How do language models generate text.mp4 |
12.5 MB |
| Linkedin - Prompt Engineering with LangChain/3. LLMs and Text Generation/2. Base LLMs vs. instruction-tuned LLMs.mp4 |
35 MB |
| Linkedin - Prompt Engineering with LangChain/3. LLMs and Text Generation/3. Training fine-tuning and in-context learning.mp4 |
10.6 MB |
| Linkedin - Prompt Engineering with LangChain/3. LLMs and Text Generation/4. Prompt engineering.mp4 |
11.9 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/1. What is LangChain.mp4 |
9.6 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/2. LangChain overview.mp4 |
8.8 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/3. Model I O- Interface with language models.mp4 |
85.2 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/4. Retrieval- Interface with application-specific data.mp4 |
58.4 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/5. Chains- Construct sequences of calls.mp4 |
74.8 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/6. Agents- Let chains choose tools based on high-level directives.mp4 |
55.4 MB |
| Linkedin - Prompt Engineering with LangChain/4. Components of LangChain/7. Memory- Persist application state between runs of a chain.mp4 |
40.3 MB |
| Linkedin - Prompt Engineering with LangChain/5. Basics of Prompting/1. Prompt basics.mp4 |
4.2 MB |
| Linkedin - Prompt Engineering with LangChain/5. Basics of Prompting/2. Principles and tactics for prompting.mp4 |
30.7 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/1. Introduction to prompt templates.mp4 |
26.6 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/10. Few-shot prompt templates.mp4 |
33.9 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/11. Few-shot prompt templates for chat.mp4 |
22.2 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/12. Introduction to example selectors.mp4 |
10.7 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/13. Length-based example selector.mp4 |
11.4 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/14. Max marginal relevance example selector.mp4 |
17.4 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/15. N-gram overlap example selector.mp4 |
30.1 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/16. Semantic similarity example selector.mp4 |
13.1 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/17. Partial prompt templates.mp4 |
15.7 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/2. Multi-input prompt templates.mp4 |
20.4 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/3. Chat prompt template.mp4 |
21.6 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/4. Serializing prompts.mp4 |
10.5 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/5. Zero-shot prompts.mp4 |
21.1 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/6. Custom prompt templates.mp4 |
31.2 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/7. Prompt pipelining.mp4 |
25.8 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/8. Chat prompt pipelining.mp4 |
13.2 MB |
| Linkedin - Prompt Engineering with LangChain/6. Prompt Templates Deep Dive/9. Prompt composition.mp4 |
18 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/1. Chain of thought.mp4 |
38.9 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/2. Self-consistency.mp4 |
29.6 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/3. Self-ask.mp4 |
51 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/4. ReAct.mp4 |
39.7 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/5. RAG.mp4 |
80.7 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/6. FLARE.mp4 |
50.5 MB |
| Linkedin - Prompt Engineering with LangChain/7. Prompting Techniques/7. Plan and execute.mp4 |
56.8 MB |
| Linkedin - Prompt Engineering with LangChain/8. Prompt Management a.k.a. PromptOps/1. Prompt management.mp4 |
5.6 MB |
| Linkedin - Prompt Engineering with LangChain/8. Prompt Management a.k.a. PromptOps/2. LangSmith.mp4 |
3.8 MB |
| Linkedin - Prompt Engineering with LangChain/8. Prompt Management a.k.a. PromptOps/3. LangSmith walkthrough.mp4 |
24.4 MB |
| Linkedin - Prompt Engineering with LangChain/8. Prompt Management a.k.a. PromptOps/4. Prompt versioning in LangSmith.mp4 |
40.7 MB |
| Linkedin - Prompt Engineering with LangChain/8. Prompt Management a.k.a. PromptOps/5. LangSmith deep dive.mp4 |
48.5 MB |
| Linkedin - Prompt Engineering with LangChain/8. Prompt Management a.k.a. PromptOps/6. Managing prompt length for agents.mp4 |
33 MB |
| Linkedin - Prompt Engineering with LangChain/9. The LLM Landscape/1. Applications of language models.mp4 |
10.1 MB |
| Linkedin - Prompt Engineering with LangChain/9. The LLM Landscape/2. The LLM landscape.mp4 |
11.9 MB |
| Linkedin - Prompt Engineering with LangChain/Ex_Files_Prompt_Engineering_LangChain.zip |
222 KB |
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