| Linkedin - Prompt Engineering with LangChain |
| | 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 |
| |-- Ex_Files_Prompt_Engineering_LangChain.zip - 221.72 KB |