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[ DevCourseWeb com ] Prompt Engineering with LangChain
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01 - Introduction
01 - Create powerful LLM driven applications.mp4
01 - Create powerful LLM driven applications.srt
02 - 1. Introduction to Language Models
01 - What are language models.mp4
01 - What are language models.srt
03 - 2. LLMs and Text Generation
01 - How do language models generate text.mp4
01 - How do language models generate text.srt
02 - Base LLMs vs. instruction-tuned LLMs.mp4
02 - Base LLMs vs. instruction-tuned LLMs.srt
03 - Training, fine-tuning, and in-context learning.mp4
03 - Training, fine-tuning, and in-context learning.srt
04 - Prompt engineering.mp4
04 - Prompt engineering.srt
04 - 3. Components of LangChain
01 - What is LangChain.mp4
01 - What is LangChain.srt
02 - LangChain overview.mp4
02 - LangChain overview.srt
03 - Model IO Interface with language models.mp4
03 - Model IO Interface with language models.srt
04 - Retrieval Interface with application-specific data.mp4
04 - Retrieval Interface with application-specific data.srt
05 - Chains Construct sequences of calls.mp4
05 - Chains Construct sequences of calls.srt
06 - Agents Let chains choose tools based on high-level directives.mp4
06 - Agents Let chains choose tools based on high-level directives.srt
07 - Memory Persist application state between runs of a chain.mp4
07 - Memory Persist application state between runs of a chain.srt
05 - 4. Basics of Prompting
01 - Prompt basics.mp4
02 - Principles and tactics for prompting.mp4
02 - Principles and tactics for prompting.srt
06 - 5. Prompt Templates Deep Dive
01 - Introduction to prompt templates.mp4
01 - Introduction to prompt templates.srt
02 - Multi-input prompt templates.mp4
02 - Multi-input prompt templates.srt
03 - Chat prompt template.mp4
03 - Chat prompt template.srt
04 - Serializing prompts.mp4
05 - Zero-shot prompts.mp4
05 - Zero-shot prompts.srt
06 - Custom prompt templates.mp4
07 - Prompt pipelining.mp4
07 - Prompt pipelining.srt
08 - Chat prompt pipelining.mp4
08 - Chat prompt pipelining.srt
09 - Prompt composition.mp4
09 - Prompt composition.srt
10 - Few-shot prompt templates.mp4
10 - Few-shot prompt templates.srt
11 - Few-shot prompt templates for chat.mp4
11 - Few-shot prompt templates for chat.srt
12 - Introduction to example selectors.mp4
12 - Introduction to example selectors.srt
13 - Length-based example selector.mp4
13 - Length-based example selector.srt
14 - Max marginal relevance example selector.mp4
14 - Max marginal relevance example selector.srt
15 - N-gram overlap example selector.mp4
15 - N-gram overlap example selector.srt
16 - Semantic similarity example selector.mp4
16 - Semantic similarity example selector.srt
17 - Partial prompt templates.mp4
17 - Partial prompt templates.srt
07 - 6. Prompting Techniques
01 - Chain of thought.mp4
01 - Chain of thought.srt
02 - Self-consistency.mp4
02 - Self-consistency.srt
03 - Self-ask.mp4
03 - Self-ask.srt
04 - ReAct.mp4
04 - ReAct.srt
05 - RAG.mp4
05 - RAG.srt
06 - FLARE.mp4
06 - FLARE.srt
07 - Plan and execute.mp4
07 - Plan and execute.srt
08 - 7. Prompt Management a.k.a. PromptOps
01 - Prompt management.mp4
01 - Prompt management.srt
02 - LangSmith.mp4
02 - LangSmith.srt
03 - LangSmith walkthrough.mp4
03 - LangSmith walkthrough.srt
04 - Prompt versioning in LangSmith.mp4
04 - Prompt versioning in LangSmith.srt
05 - LangSmith deep dive.mp4
05 - LangSmith deep dive.srt
06 - Managing prompt length for agents.mp4
09 - 8. The LLM Landscape
01 - Applications of language models.mp4
01 - Applications of language models.srt
02 - The LLM landscape.mp4
02 - The LLM landscape.srt
Bonus Resources.txt
Ex_Files_Prompt_Engineering_LangChain
Exercise Files
02_02_Base_v_Instruction_Tuned_LLMs_Presentation.ipynb
03_03_Presentation_Code_Model_I_O.ipynb
03_04_Presentation_Code_Retrieval.ipynb
03_05_Presentation_Code_Chains.ipynb
03_06_Presentation_Code_Agents.ipynb
03_07_Presentation_Code_Memory.ipynb
04_02_Presentation_Principles_for_Prompting.ipynb
05_01_Presentation_What-Are-Prompt-Templates.ipynb
05_01_What-Are-Prompt-Templates.ipynb
05_04_Presentation_Serializing-Prompts.ipynb
05_05_Presentation_Zero-Shot-Prompting.ipynb
05_06_Presentation_Custom-Prompt-Templates.ipynb
05_07_Presentation_Prompt-Pipelining-and-Composition.ipynb
05_08_Prompt-Pipelining-and-Composition.ipynb
05_09_Presentation_Few-Shot-Templates-Chat.ipynb
05_10_Example-Selectors.ipynb
05_10_Presentation_Few-Shot_Prompt-Templates.ipynb
05_11_Presentation_Partial_Prompt_Templates.ipynb
05_12_Presentation_Example-Selectors.ipynb
05_17_Presentation_Partial_Prompt_Templates.ipynb
06_01_Presentation_Chain-of-Thought.ipynb
06_02_Presentation_Self-Consistency.ipynb
06_02_Self-Consistency.ipynb
06_03_Presentation_Self-Ask.ipynb
06_04_Presentation_ReAct-Prompting.ipynb
06_05_Presentation_Retrieval-Augmented-Generation.ipynb
06_06_Presentation_Forward-Looking-Active-RAG.ipynb
06_07_Presentation_Plan-and-Execute.ipynb
07_03_Prompt-Versioning.ipynb
07_04_Presentation_Prompt-Versioning.ipynb
07_05_Presentation_LangSmith_DeepDive.ipynb
07_06_Presentation_Managaing_Prompt_Size_for_Agents.ipynb
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