Udemy - ChatGPT and LangChain The Complete Developer's Masterclass (6.2025)

磁力链接/BT种子名称

Udemy - ChatGPT and LangChain The Complete Developer's Masterclass (6.2025)

磁力链接/BT种子简介

种子哈希：fc05940645c1b06d55991d7a2e0e9858400f3ee8
文件大小： 4.44G
已经下载：853次
下载速度：极快
收录时间：2025-06-21
最近下载：2025-10-14

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磁力链接

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API Integration

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文件列表

  • 05. Custom Document Retrievers/4. Optional Understanding Refine, MapReduce, and MapRerank.mp4 331.1 MB
  • 12. Self-Improving Text Generation/6. Generalizing Component Picking.mp4 124.1 MB
  • 06. Empower ChatGPT with Tools and Agents/20. More Handler Implementaion.mp4 110.7 MB
  • 13. Implementing Tracing and Observability/9. Automatic Trace Creation.mp4 107.1 MB
  • 11. Extending LangChain/7. Streaming Complete!.mp4 98.1 MB
  • 12. Self-Improving Text Generation/12. Calculating the Average Score.mp4 93.0 MB
  • 05. Custom Document Retrievers/6. Creating a Custom Retriever.mp4 88.9 MB
  • 04. Adding Context with Embedding Techniques/9. Chunking Text.mp4 85.2 MB
  • 09. Custom Message Histories/3. Introducing the Conversational Retrieval Chain.mp4 83.7 MB
  • 05. Custom Document Retrievers/7. Custom Retriever in Action.mp4 77.6 MB
  • 09. Custom Message Histories/2. Persistent Message Storage.mp4 75.8 MB
  • 05. Custom Document Retrievers/1. Introducing ChromaDB.mp4 75.4 MB
  • 01. Let's Start - Dive In Here!/3. How a Typical AI-Enabled App Works.mp4 75.3 MB
  • 06. Empower ChatGPT with Tools and Agents/14. Adding Better Descriptions for Tool Arguments.mp4 75.3 MB
  • 06. Empower ChatGPT with Tools and Agents/11. Adding Table Context.mp4 73.5 MB
  • 06. Empower ChatGPT with Tools and Agents/15. Tools with Multiple Arguments.mp4 71.7 MB
  • 05. Custom Document Retrievers/2. Building a Retrieval Chain.mp4 70.3 MB
  • 06. Empower ChatGPT with Tools and Agents/16. Memory vs Agent Scratchpad.mp4 67.6 MB
  • 13. Implementing Tracing and Observability/4. Window Memory Implementation.mp4 64.6 MB
  • 03. Deep Dive into Interactions with Memory Management/10. Summarizations Conversation Summary Memory.mp4 62.5 MB
  • 11. Extending LangChain/4. Testing the Streaming Setup.mp4 61.2 MB
  • 06. Empower ChatGPT with Tools and Agents/19. Implementing a Basic Callback Handler.mp4 60.7 MB
  • 08. Distributed Text Generation with Celery/9. Updating Document Metadata.mp4 60.2 MB
  • 11. Extending LangChain/3. Integrating the Streaming Code.mp4 59.9 MB
  • 02. ChatGPT and LangChain Integration/5. Introducing Chains.mp4 54.9 MB
  • 10. Streaming Text Generation/7. Adding a Queue for Communication.mp4 53.0 MB
  • 02. ChatGPT and LangChain Integration/11. Chains in Series with SequentialChain.mp4 52.6 MB
  • 11. Extending LangChain/5. Here's the Issue.mp4 49.2 MB
  • 12. Self-Improving Text Generation/11. Extracting Scores.mp4 47.9 MB
  • 12. Self-Improving Text Generation/5. Randomly Picking a Component.mp4 47.3 MB
  • 06. Empower ChatGPT with Tools and Agents/8. Understanding Agents and AgentExecutors.mp4 46.6 MB
  • 13. Implementing Tracing and Observability/7. Adding in Tracing.mp4 46.6 MB
  • 04. Adding Context with Embedding Techniques/7. Introducing Embeddings.mp4 45.8 MB
  • 01. Let's Start - Dive In Here!/5. diagrams.zip 44.6 MB
  • 07. Pinecone as a Vector Database/5. How This App is Designed.mp4 44.5 MB
  • 09. Custom Message Histories/7. Testing the Chain.mp4 43.6 MB
  • 12. Self-Improving Text Generation/2. Component Part Flow.mp4 43.3 MB
  • 10. Streaming Text Generation/6. Extending a LLM Chain.mp4 42.7 MB
  • 05. Custom Document Retrievers/5. Removing Duplicate Documents.mp4 42.1 MB
  • 09. Custom Message Histories/1. Understanding the Apps Requirements.mp4 40.4 MB
  • 06. Empower ChatGPT with Tools and Agents/4. Understanding ChatGPT Functions.mp4 39.9 MB
  • 08. Distributed Text Generation with Celery/2. Introducing Background Jobs.mp4 39.8 MB
  • 04. Adding Context with Embedding Techniques/5. Loading Files with Document Loaders.mp4 39.6 MB
  • 06. Empower ChatGPT with Tools and Agents/3. Understanding Tools.mp4 38.8 MB
  • 12. Self-Improving Text Generation/9. Storing Votes in Redis.mp4 38.6 MB
  • 13. Implementing Tracing and Observability/8. Understanding the Trace.mp4 37.5 MB
  • 03. Deep Dive into Interactions with Memory Management/7. Understanding Memory.mp4 37.3 MB
  • 03. Deep Dive into Interactions with Memory Management/9. Saving and Extending Conversations.mp4 36.4 MB
  • 06. Empower ChatGPT with Tools and Agents/18. Understanding Callbacks.mp4 36.2 MB
  • 06. Empower ChatGPT with Tools and Agents/12. Adding a Table Description Tool.mp4 35.9 MB
  • 07. Pinecone as a Vector Database/12. Introducing Pinecone.mp4 35.5 MB
  • 01. Let's Start - Dive In Here!/4. Here It Is, This is Why We Use LangChain.mp4 34.4 MB
  • 03. Deep Dive into Interactions with Memory Management/8. Using ChatBufferMemory to Store Conversations.mp4 33.3 MB
  • 08. Distributed Text Generation with Celery/1. Why is Processing Taking Forever.mp4 33.3 MB
  • 12. Self-Improving Text Generation/10. Weighted Randomness.mp4 32.9 MB
  • 13. Implementing Tracing and Observability/2. Building the Score Aggregate.mp4 32.6 MB
  • 09. Custom Message Histories/4. Building the Retriever.mp4 32.3 MB
  • 03. Deep Dive into Interactions with Memory Management/4. Chat vs Completion Style Models.mp4 32.1 MB
  • 12. Self-Improving Text Generation/8. Redis Connection Setup.mp4 32.1 MB
  • 05. Custom Document Retrievers/9. Visualizing Embeddings.mp4 31.8 MB
  • 10. Streaming Text Generation/3. Experimenting with a Streaming Language Model.mp4 30.7 MB
  • 09. Custom Message Histories/6. Building a Custom SQL History.mp4 30.7 MB
  • 12. Self-Improving Text Generation/13. Selecting Components By Score.mp4 30.7 MB
  • 06. Empower ChatGPT with Tools and Agents/9. Shortcomings in ChatGPT's Assumptions.mp4 30.5 MB
  • 10. Streaming Text Generation/4. Chains Don't Want to Stream.mp4 29.4 MB
  • 07. Pinecone as a Vector Database/15. Adding Documents to the Vector Store.mp4 28.7 MB
  • 07. Pinecone as a Vector Database/4. Boilerplate Setup.mp4 28.7 MB
  • 08. Distributed Text Generation with Celery/7. Adding in the Worker.mp4 28.6 MB
  • 11. Extending LangChain/6. Isolating the Handler.mp4 28.4 MB
  • 02. ChatGPT and LangChain Integration/6. Adding a Chain.mp4 27.0 MB
  • 06. Empower ChatGPT with Tools and Agents/17. Preserving Messages with Agent Executor.mp4 26.9 MB
  • 07. Pinecone as a Vector Database/7. Loading and Splitting From a PDF.mp4 26.0 MB
  • 04. Adding Context with Embedding Techniques/10. Generating Embeddings.mp4 24.1 MB
  • 06. Empower ChatGPT with Tools and Agents/6. Defining a Tool.mp4 24.0 MB
  • 06. Empower ChatGPT with Tools and Agents/10. Recovering from Errors in Tools.mp4 22.9 MB
  • 12. Self-Improving Text Generation/4. Building Component Maps.mp4 22.7 MB
  • 12. Self-Improving Text Generation/3. Partial KWArg Application.mp4 21.5 MB
  • 12. Self-Improving Text Generation/7. Collecting User Feedback.mp4 20.4 MB
  • 10. Streaming Text Generation/11. Ending the Loop.mp4 20.1 MB
  • 07. Pinecone as a Vector Database/10. Testing the PDF Upload.mp4 20.1 MB
  • 04. Adding Context with Embedding Techniques/6. Search Criteria.mp4 20.0 MB
  • 13. Implementing Tracing and Observability/3. Adding Another Form of Memory.mp4 19.8 MB
  • 03. Deep Dive into Interactions with Memory Management/6. Implementing a Chat Chain.mp4 19.6 MB
  • 09. Custom Message Histories/5. Custom History Objects.mp4 19.4 MB
  • 10. Streaming Text Generation/10. It Works!.mp4 19.3 MB
  • 10. Streaming Text Generation/5. Receiving Chunks with a Callback.mp4 18.9 MB
  • 01. Let's Start - Dive In Here!/2. What is LangChain.mp4 18.9 MB
  • 07. Pinecone as a Vector Database/6. Outlining the First Feature.mp4 18.8 MB
  • 05. Custom Document Retrievers/3. What is a Retriever.mp4 18.8 MB
  • 06. Empower ChatGPT with Tools and Agents/7. Defining an Agent and AgentExecutor.mp4 18.0 MB
  • 11. Extending LangChain/2. Using a Mixin Approach.mp4 17.9 MB
  • 08. Distributed Text Generation with Celery/8. Queuing Up Jobs.mp4 17.7 MB
  • 11. Extending LangChain/1. Isolating the Queue and Handler.mp4 17.7 MB
  • 07. Pinecone as a Vector Database/2. Taking a Look at Mockups.mp4 17.1 MB
  • 13. Implementing Tracing and Observability/1. Adding Score Observability.mp4 17.0 MB
  • 03. Deep Dive into Interactions with Memory Management/5. Representing Messages with ChatPromptTemplates.mp4 16.6 MB
  • 07. Pinecone as a Vector Database/14. Initializing the Pinecone Client.mp4 16.5 MB
  • 02. ChatGPT and LangChain Integration/9. Securing the API Key.mp4 16.3 MB
  • 12. Self-Improving Text Generation/1. Random Component Parts.mp4 16.0 MB
  • 13. Implementing Tracing and Observability/5. Text Generation Tracing.mp4 15.0 MB
  • 04. Adding Context with Embedding Techniques/8. The Entire Embedding Flow.mp4 14.5 MB
  • 10. Streaming Text Generation/2. Creating a Working Playground.mp4 13.6 MB
  • 04. Adding Context with Embedding Techniques/1. Project Overview.mp4 13.2 MB
  • 13. Implementing Tracing and Observability/6. Langfuse Signup.mp4 12.7 MB
  • 10. Streaming Text Generation/8. The Chain Really Wants to Wait.mp4 12.5 MB
  • 06. Empower ChatGPT with Tools and Agents/13. Being Direct with System Messages.mp4 12.1 MB
  • 10. Streaming Text Generation/1. Streaming Text Generation.mp4 11.4 MB
  • 02. ChatGPT and LangChain Integration/10. Connecting Chains Together.mp4 10.1 MB
  • 02. ChatGPT and LangChain Integration/4. Using LangChain the Simple Way.mp4 10.0 MB
  • 07. Pinecone as a Vector Database/9. local-do-files.zip 9.7 MB
  • 07. Pinecone as a Vector Database/1. App Overview.mp4 9.5 MB
  • 06. Empower ChatGPT with Tools and Agents/2. App Overview.mp4 9.3 MB
  • 02. ChatGPT and LangChain Integration/8. Parsing Command Line Arguments.mp4 8.3 MB
  • 03. Deep Dive into Interactions with Memory Management/2. App Overview.mp4 8.1 MB
  • 02. ChatGPT and LangChain Integration/2. Project Overview and Setup.mp4 7.9 MB
  • 10. Streaming Text Generation/9. Solving the Slow Chain.mp4 7.4 MB
  • 07. Pinecone as a Vector Database/3. pdf.zip 4.6 MB
  • 03. Deep Dive into Interactions with Memory Management/3. Receiving User Input.mp4 4.6 MB
  • 08. Distributed Text Generation with Celery/3. Redis Setup.mp4 4.6 MB
  • 04. Adding Context with Embedding Techniques/4. Project Setup.mp4 4.4 MB
  • 13. Implementing Tracing and Observability/9. 136-automatic.zip 2.4 MB
  • 13. Implementing Tracing and Observability/4. 131-window.zip 2.4 MB
  • 12. Self-Improving Text Generation/13. 127-selecting.zip 2.4 MB
  • 13. Implementing Tracing and Observability/2. 129-building.zip 2.4 MB
  • 12. Self-Improving Text Generation/12. 126-calculating.zip 2.4 MB
  • 12. Self-Improving Text Generation/11. 125-extracting.zip 2.4 MB
  • 12. Self-Improving Text Generation/10. 124-weighted.zip 2.4 MB
  • 12. Self-Improving Text Generation/9. 123-storing.zip 2.4 MB
  • 12. Self-Improving Text Generation/6. 120-generalizing.zip 2.4 MB
  • 12. Self-Improving Text Generation/5. 119-randomly.zip 2.4 MB
  • 12. Self-Improving Text Generation/4. 118-building.zip 2.4 MB
  • 12. Self-Improving Text Generation/3. 117-partial.zip 2.4 MB
  • 11. Extending LangChain/7. 114-streaming.zip 2.4 MB
  • 11. Extending LangChain/4. 111-testing.zip 2.4 MB
  • 11. Extending LangChain/3. 110-integrating.zip 2.4 MB
  • 11. Extending LangChain/1. 108-isolating.zip 2.4 MB
  • 10. Streaming Text Generation/11. 107-ending.zip 2.4 MB
  • 10. Streaming Text Generation/10. 106-it-works.zip 2.4 MB
  • 10. Streaming Text Generation/7. 103-adding-queue.zip 2.4 MB
  • 10. Streaming Text Generation/5. 101-recieving.zip 2.4 MB
  • 10. Streaming Text Generation/6. 102-extending.zip 2.4 MB
  • 10. Streaming Text Generation/3. 99-experimenting.zip 2.4 MB
  • 10. Streaming Text Generation/2. 98-creating.zip 2.4 MB
  • 09. Custom Message Histories/7. 96-testing.zip 2.4 MB
  • 09. Custom Message Histories/6. 95-building-custom.zip 2.4 MB
  • 09. Custom Message Histories/4. 93-building-retriever.zip 2.4 MB
  • 08. Distributed Text Generation with Celery/9. 89-updating.zip 2.4 MB
  • 08. Distributed Text Generation with Celery/8. 88-queuing.zip 2.4 MB
  • 08. Distributed Text Generation with Celery/7. 87-adding-worker.zip 2.4 MB
  • 07. Pinecone as a Vector Database/14. 79-initializing.zip 2.4 MB
  • 07. Pinecone as a Vector Database/15. 80-adding-documents.zip 2.4 MB
  • 05. Custom Document Retrievers/1. 37-introducing.zip 1.7 MB
  • 05. Custom Document Retrievers/7. 43-custom.zip 1.3 MB
  • 01. Let's Start - Dive In Here!/1. How to Get Help.mp4 1.2 MB
  • 02. ChatGPT and LangChain Integration/3. 2023-10-10_17-21-39-38edb94e77fb06eab4dc8b27280508a2.png 867.5 kB
  • 06. Empower ChatGPT with Tools and Agents/5. db.sqlite 794.6 kB
  • 05. Custom Document Retrievers/2. 38-building.zip 710.1 kB
  • 02. ChatGPT and LangChain Integration/3. 2023-10-10_17-21-39-54414805bd1f274ecb28eeda51c84824.png 634.4 kB
  • 02. ChatGPT and LangChain Integration/3. 2023-10-10_17-21-39-19c40ad774e30fd1f67c630406288389.png 500.8 kB
  • 06. Empower ChatGPT with Tools and Agents/20. 65-more-handler.zip 434.1 kB
  • 06. Empower ChatGPT with Tools and Agents/17. 62-preserving.zip 431.1 kB
  • 06. Empower ChatGPT with Tools and Agents/15. 60-tools.zip 430.6 kB
  • 06. Empower ChatGPT with Tools and Agents/14. 59-adding-better.zip 429.8 kB
  • 06. Empower ChatGPT with Tools and Agents/13. 58-being-direct.zip 428.0 kB
  • 06. Empower ChatGPT with Tools and Agents/12. 57-adding-description.zip 427.9 kB
  • 06. Empower ChatGPT with Tools and Agents/11. 56-adding-context.zip 427.3 kB
  • 06. Empower ChatGPT with Tools and Agents/10. 55-recovering.zip 426.8 kB
  • 06. Empower ChatGPT with Tools and Agents/8. 53-understanding.zip 426.6 kB
  • 06. Empower ChatGPT with Tools and Agents/7. 52-defining-agent.zip 426.6 kB
  • 06. Empower ChatGPT with Tools and Agents/6. 51-defining-tool.zip 425.3 kB
  • 05. Custom Document Retrievers/6. 42-creating.zip 385.5 kB
  • 07. Pinecone as a Vector Database/8. spice.pdf 348.1 kB
  • 02. ChatGPT and LangChain Integration/3. 2023-10-10_17-21-39-8e3d4e20644e87476905b58cc1c5fbb1.png 245.3 kB
  • 08. Distributed Text Generation with Celery/6. 2023-10-10_19-35-34-87f7a57ff49dc3238606f64104221e20.png 178.2 kB
  • 07. Pinecone as a Vector Database/11. 2024-09-09_15-16-58-b43ae6e7bab3c43df068d77ef2aef798.png 145.1 kB
  • 08. Distributed Text Generation with Celery/6. 2023-10-10_19-35-33-e5cf7e74af42847dddbdc29e7d6d18e2.png 118.3 kB
  • 05. Custom Document Retrievers/8. scores.ipynb 106.9 kB
  • 08. Distributed Text Generation with Celery/6. 2023-10-10_19-35-34-ed5b36ddcbddb465ed7deff54bf140ab.png 88.4 kB
  • 06. Empower ChatGPT with Tools and Agents/1. Pipfile.lock 77.3 kB
  • 02. ChatGPT and LangChain Integration/1. Pipfile.lock 75.5 kB
  • 03. Deep Dive into Interactions with Memory Management/1. Pipfile.lock 75.5 kB
  • 05. Custom Document Retrievers/4. Optional Understanding Refine, MapReduce, and MapRerank.vtt 43.8 kB
  • 07. Pinecone as a Vector Database/11. 2024-04-15_23-18-10-81ce790890bce6db0baa3cfb68f908cb.png 34.7 kB
  • 03. Deep Dive into Interactions with Memory Management/9. 25-saving.zip 33.2 kB
  • 03. Deep Dive into Interactions with Memory Management/10. 26-summarizations.zip 33.0 kB
  • 06. Empower ChatGPT with Tools and Agents/2. 47-app.zip 33.0 kB
  • 02. ChatGPT and LangChain Integration/11. 16-chains.zip 32.9 kB
  • 02. ChatGPT and LangChain Integration/10. 15-connecting.zip 32.8 kB
  • 03. Deep Dive into Interactions with Memory Management/8. 24-using.zip 32.8 kB
  • 02. ChatGPT and LangChain Integration/9. 14-securing.zip 32.7 kB
  • 03. Deep Dive into Interactions with Memory Management/6. 22-implementing.zip 32.7 kB
  • 02. ChatGPT and LangChain Integration/8. 13-parsing.zip 32.6 kB
  • 03. Deep Dive into Interactions with Memory Management/5. 21-representing.zip 32.6 kB
  • 02. ChatGPT and LangChain Integration/6. 12-adding.zip 32.5 kB
  • 03. Deep Dive into Interactions with Memory Management/3. 19-receiving.zip 32.5 kB
  • 09. Custom Message Histories/2. Persistent Message Storage.vtt 19.0 kB
  • 02. ChatGPT and LangChain Integration/7.1 Adding a Chain.html 18.6 kB
  • 04. Adding Context with Embedding Techniques/7. Introducing Embeddings.vtt 18.0 kB
  • 06. Empower ChatGPT with Tools and Agents/4. Understanding ChatGPT Functions.vtt 17.5 kB
  • 02. ChatGPT and LangChain Integration/5. Introducing Chains.vtt 17.5 kB
  • 09. Custom Message Histories/3. Introducing the Conversational Retrieval Chain.vtt 17.2 kB
  • 03. Deep Dive into Interactions with Memory Management/11.2 Check Your Understanding Memory.html 17.0 kB
  • 05. Custom Document Retrievers/6. Creating a Custom Retriever.vtt 16.9 kB
  • 01. Let's Start - Dive In Here!/3. How a Typical AI-Enabled App Works.vtt 16.6 kB
  • 05. Custom Document Retrievers/2. Building a Retrieval Chain.vtt 16.0 kB
  • 05. Custom Document Retrievers/1. Introducing ChromaDB.vtt 15.9 kB
  • 03. Deep Dive into Interactions with Memory Management/4. Chat vs Completion Style Models.vtt 15.8 kB
  • 06. Empower ChatGPT with Tools and Agents/20. More Handler Implementaion.vtt 15.8 kB
  • 03. Deep Dive into Interactions with Memory Management/10. Summarizations Conversation Summary Memory.vtt 15.7 kB
  • 03. Deep Dive into Interactions with Memory Management/7. Understanding Memory.vtt 15.5 kB
  • 13. Implementing Tracing and Observability/9. Automatic Trace Creation.vtt 15.4 kB
  • 11. Extending LangChain/7. Streaming Complete!.vtt 15.1 kB
  • 10. Streaming Text Generation/3. Experimenting with a Streaming Language Model.vtt 14.6 kB
  • 06. Empower ChatGPT with Tools and Agents/8. Understanding Agents and AgentExecutors.vtt 14.6 kB
  • 06. Empower ChatGPT with Tools and Agents/11. Adding Table Context.vtt 14.6 kB
  • 10. Streaming Text Generation/6. Extending a LLM Chain.vtt 14.3 kB
  • 06. Empower ChatGPT with Tools and Agents/16. Memory vs Agent Scratchpad.vtt 14.2 kB
  • 12. Self-Improving Text Generation/6. Generalizing Component Picking.vtt 13.5 kB
  • 05. Custom Document Retrievers/5. Removing Duplicate Documents.vtt 13.4 kB
  • 09. Custom Message Histories/1. Understanding the Apps Requirements.vtt 13.3 kB
  • 08. Distributed Text Generation with Celery/2. Introducing Background Jobs.vtt 13.1 kB
  • 10. Streaming Text Generation/7. Adding a Queue for Communication.vtt 12.5 kB
  • 11. Extending LangChain/6. Isolating the Handler.vtt 12.5 kB
  • 06. Empower ChatGPT with Tools and Agents/3. Understanding Tools.vtt 12.4 kB
  • 09. Custom Message Histories/6. Building a Custom SQL History.vtt 12.2 kB
  • 03. Deep Dive into Interactions with Memory Management/8. Using ChatBufferMemory to Store Conversations.vtt 11.8 kB
  • 11. Extending LangChain/4. Testing the Streaming Setup.vtt 11.6 kB
  • 04. Adding Context with Embedding Techniques/9. Chunking Text.vtt 11.4 kB
  • 12. Self-Improving Text Generation/12. Calculating the Average Score.vtt 11.4 kB
  • 08. Distributed Text Generation with Celery/9. Updating Document Metadata.vtt 11.2 kB
  • 10. Streaming Text Generation/4. Chains Don't Want to Stream.vtt 11.2 kB
  • 07. Pinecone as a Vector Database/5. How This App is Designed.vtt 11.0 kB
  • 07. Pinecone as a Vector Database/12. Introducing Pinecone.vtt 10.9 kB
  • 06. Empower ChatGPT with Tools and Agents/14. Adding Better Descriptions for Tool Arguments.vtt 10.8 kB
  • 12. Self-Improving Text Generation/9. Storing Votes in Redis.vtt 10.8 kB
  • 12. Self-Improving Text Generation/5. Randomly Picking a Component.vtt 10.8 kB
  • 12. Self-Improving Text Generation/8. Redis Connection Setup.vtt 10.7 kB
  • 08. Distributed Text Generation with Celery/1. Why is Processing Taking Forever.vtt 10.5 kB
  • 04. Adding Context with Embedding Techniques/5. Loading Files with Document Loaders.vtt 10.4 kB
  • 13. Implementing Tracing and Observability/7. Adding in Tracing.vtt 10.1 kB
  • 02. ChatGPT and LangChain Integration/11. Chains in Series with SequentialChain.vtt 10.1 kB
  • 12. Self-Improving Text Generation/11. Extracting Scores.vtt 10.0 kB
  • 06. Empower ChatGPT with Tools and Agents/6. Defining a Tool.vtt 10.0 kB
  • 11. Extending LangChain/3. Integrating the Streaming Code.vtt 9.8 kB
  • 06. Empower ChatGPT with Tools and Agents/15. Tools with Multiple Arguments.vtt 9.8 kB
  • 03. Deep Dive into Interactions with Memory Management/5. Representing Messages with ChatPromptTemplates.vtt 9.7 kB
  • 01. Let's Start - Dive In Here!/4. Here It Is, This is Why We Use LangChain.vtt 9.0 kB
  • 05. Custom Document Retrievers/7. Custom Retriever in Action.vtt 8.9 kB
  • 12. Self-Improving Text Generation/3. Partial KWArg Application.vtt 8.9 kB
  • 05. Custom Document Retrievers/3. What is a Retriever.vtt 8.9 kB
  • 13. Implementing Tracing and Observability/8. Understanding the Trace.vtt 8.8 kB
  • 07. Pinecone as a Vector Database/14. Initializing the Pinecone Client.vtt 8.8 kB
  • 12. Self-Improving Text Generation/7. Collecting User Feedback.vtt 8.6 kB
  • 04. Adding Context with Embedding Techniques/2. facts.txt 8.5 kB
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  • 10. Streaming Text Generation/2. Creating a Working Playground.vtt 8.0 kB
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  • 06. Empower ChatGPT with Tools and Agents/19. Implementing a Basic Callback Handler.vtt 7.5 kB
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  • 12. Self-Improving Text Generation/1. Random Component Parts.vtt 6.8 kB
  • 01. Let's Start - Dive In Here!/2. What is LangChain.vtt 6.7 kB
  • 08. Distributed Text Generation with Celery/8. Queuing Up Jobs.vtt 6.7 kB
  • 03. Deep Dive into Interactions with Memory Management/6. Implementing a Chat Chain.vtt 6.6 kB
  • 12. Self-Improving Text Generation/13. Selecting Components By Score.vtt 6.6 kB
  • 07. Pinecone as a Vector Database/15. Adding Documents to the Vector Store.vtt 6.5 kB
  • 08. Distributed Text Generation with Celery/7. Adding in the Worker.vtt 6.4 kB
  • 09. Custom Message Histories/7. Testing the Chain.vtt 6.3 kB
  • 04. Adding Context with Embedding Techniques/1. Project Overview.vtt 6.1 kB
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  • 07. Pinecone as a Vector Database/2. Taking a Look at Mockups.vtt 5.9 kB
  • 13. Implementing Tracing and Observability/6. Langfuse Signup.vtt 5.9 kB
  • 11. Extending LangChain/1. Isolating the Queue and Handler.vtt 5.7 kB
  • 13. Implementing Tracing and Observability/2. Building the Score Aggregate.vtt 5.4 kB
  • 04. Adding Context with Embedding Techniques/10. 36-generating.zip 5.4 kB
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  • 04. Adding Context with Embedding Techniques/9. 35-chunking.zip 5.4 kB
  • 02. ChatGPT and LangChain Integration/2. Project Overview and Setup.vtt 5.4 kB
  • 04. Adding Context with Embedding Techniques/5. 31-loading.zip 5.3 kB
  • 10. Streaming Text Generation/9. Solving the Slow Chain.vtt 4.9 kB
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  • 02. ChatGPT and LangChain Integration/4. Using LangChain the Simple Way.vtt 4.6 kB
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  • 04. Adding Context with Embedding Techniques/8. The Entire Embedding Flow.vtt 3.9 kB
  • 07. Pinecone as a Vector Database/10. Testing the PDF Upload.vtt 3.8 kB
  • 06. Empower ChatGPT with Tools and Agents/17. Preserving Messages with Agent Executor.vtt 3.8 kB
  • 13. Implementing Tracing and Observability/10. Bonus!.html 3.7 kB
  • 02. ChatGPT and LangChain Integration/8. Parsing Command Line Arguments.vtt 3.5 kB
  • 08. Distributed Text Generation with Celery/3. Redis Setup.vtt 3.2 kB
  • 04. Adding Context with Embedding Techniques/4. Project Setup.vtt 3.0 kB
  • 02. ChatGPT and LangChain Integration/1. Important Python and Pipenv Environment Setup Information.html 2.9 kB
  • 04. Adding Context with Embedding Techniques/3. Important Pipenv Environment Setup Information.html 2.8 kB
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  • 03. Deep Dive into Interactions with Memory Management/1. Important Pipenv Environment Setup Information.html 2.7 kB
  • 01. Let's Start - Dive In Here!/1. How to Get Help.vtt 2.2 kB
  • 08. Distributed Text Generation with Celery/6. Redis - Windows Setup Without WSL.html 2.2 kB
  • 07. Pinecone as a Vector Database/9. Running File Upload Server Locally.html 2.1 kB
  • 02. ChatGPT and LangChain Integration/3. Creating an OpenAI API Key.html 2.1 kB
  • 07. Pinecone as a Vector Database/3. Boilerplate Download.html 1.7 kB
  • 07. Pinecone as a Vector Database/11. Pinecone Dashboard and Serverless Indexes.html 1.0 kB
  • 08. Distributed Text Generation with Celery/5. Redis - Ubuntu and Windows Subsystem for Linux Setup.html 1.0 kB
  • 07. Pinecone as a Vector Database/13. Pinecone Client Update.html 969 Bytes
  • 01. Let's Start - Dive In Here!/5. Course Resources.html 871 Bytes
  • 08. Distributed Text Generation with Celery/4. Redis - MacOS Setup.html 636 Bytes
  • 01. Let's Start - Dive In Here!/6. Join Our Community!.html 443 Bytes
  • 07. Pinecone as a Vector Database/8. Sample PDF.html 249 Bytes
  • 04. Adding Context with Embedding Techniques/3. Pipfile 239 Bytes
  • 06. Empower ChatGPT with Tools and Agents/1. Pipfile 223 Bytes
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  • 03. Deep Dive into Interactions with Memory Management/1. Pipfile 211 Bytes
  • 05. Custom Document Retrievers/8. Understanding Embeddings Download.html 195 Bytes
  • 04. Adding Context with Embedding Techniques/2. Facts File Download.html 180 Bytes
  • 06. Empower ChatGPT with Tools and Agents/5. SQLite Database Download.html 180 Bytes

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