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[FreeCoursesOnline.Me] ChatGPT and LangChain The Complete Developers Masterclass

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[FreeCoursesOnline.Me] ChatGPT and LangChain The Complete Developers Masterclass

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收录时间:2024-01-05
最近下载:2025-10-20

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文件列表

  • 5 - Custom Document Retrievers/39 - Optional Understanding Refine MapReduce and MapRerank.mp4 331.5 MB
  • code.zip 125.3 MB
  • 12 - SelfImproving Text Generation/116 - Generalizing Component Picking.mp4 124.2 MB
  • 6 - Empower ChatGPT with Tools and Agents/63 - More Handler Implementaion.mp4 110.8 MB
  • 13 - Implementing Tracing and Observability/132 - Automatic Trace Creation.mp4 107.3 MB
  • 11 - Extending LangChain/110 - Streaming Complete.mp4 98.2 MB
  • 12 - SelfImproving Text Generation/122 - Calculating the Average Score.mp4 93.1 MB
  • 5 - Custom Document Retrievers/41 - Creating a Custom Retriever.mp4 89.1 MB
  • 4 - Adding Context with Embedding Techniques/33 - Chunking Text.mp4 85.3 MB
  • 9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain.mp4 83.8 MB
  • 5 - Custom Document Retrievers/42 - Custom Retriever in Action.mp4 77.7 MB
  • 9 - Custom Message Histories/87 - Persistent Message Storage.mp4 76.0 MB
  • 5 - Custom Document Retrievers/36 - Introducing ChromaDB.mp4 75.6 MB
  • 6 - Empower ChatGPT with Tools and Agents/57 - Adding Better Descriptions for Tool Arguments.mp4 75.3 MB
  • 1 - Lets Start Dive In Here/3 - How a Typical AIEnabled App Works.mp4 75.3 MB
  • 6 - Empower ChatGPT with Tools and Agents/54 - Adding Table Context.mp4 73.6 MB
  • 6 - Empower ChatGPT with Tools and Agents/58 - Tools with Multiple Arguments.mp4 71.8 MB
  • 5 - Custom Document Retrievers/37 - Building a Retrieval Chain.mp4 70.4 MB
  • 6 - Empower ChatGPT with Tools and Agents/59 - Memory vs Agent Scratchpad.mp4 67.8 MB
  • 13 - Implementing Tracing and Observability/127 - Window Memory Implementation.mp4 64.6 MB
  • 3 - Deep Dive into Interactions with Memory Management/25 - Summarizations Conversation Summary Memory.mp4 62.6 MB
  • 11 - Extending LangChain/107 - Testing the Streaming Setup.mp4 61.3 MB
  • 6 - Empower ChatGPT with Tools and Agents/62 - Implementing a Basic Callback Handler.mp4 60.7 MB
  • 8 - Distributed Text Generation with Celery/85 - Updating Document Metadata.mp4 60.3 MB
  • 11 - Extending LangChain/106 - Integrating the Streaming Code.mp4 60.0 MB
  • 2 - ChatGPT and LangChain Integration/11 - Introducing Chains.mp4 55.0 MB
  • 10 - Streaming Text Generation/99 - Adding a Queue for Communication.mp4 53.1 MB
  • 2 - ChatGPT and LangChain Integration/16 - Chains in Series with SequentialChain.mp4 52.7 MB
  • 11 - Extending LangChain/108 - Heres the Issue.mp4 49.3 MB
  • 12 - SelfImproving Text Generation/121 - Extracting Scores.mp4 47.9 MB
  • 12 - SelfImproving Text Generation/115 - Randomly Picking a Component.mp4 47.4 MB
  • 6 - Empower ChatGPT with Tools and Agents/51 - Understanding Agents and AgentExecutors.mp4 46.7 MB
  • 13 - Implementing Tracing and Observability/130 - Adding in Tracing.mp4 46.7 MB
  • 4 - Adding Context with Embedding Techniques/31 - Introducing Embeddings.mp4 45.9 MB
  • 1 - Lets Start Dive In Here/5 - diagrams.zip 44.6 MB
  • 7 - Pinecone as a Vector Database/68 - How This App is Designed.mp4 44.5 MB
  • 9 - Custom Message Histories/92 - Testing the Chain.mp4 43.7 MB
  • 12 - SelfImproving Text Generation/112 - Component Part Flow.mp4 43.4 MB
  • 1 - Lets Start Dive In Here/2 - What is LangChain.mp4 43.3 MB
  • 10 - Streaming Text Generation/98 - Extending a LLM Chain.mp4 42.8 MB
  • 5 - Custom Document Retrievers/40 - Removing Duplicate Documents.mp4 42.2 MB
  • 9 - Custom Message Histories/86 - Understanding the Apps Requirements.mp4 40.5 MB
  • 6 - Empower ChatGPT with Tools and Agents/47 - Understanding ChatGPT Functions.mp4 39.9 MB
  • 8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs.mp4 39.8 MB
  • 4 - Adding Context with Embedding Techniques/29 - Loading Files with Document Loaders.mp4 39.7 MB
  • 6 - Empower ChatGPT with Tools and Agents/46 - Understanding Tools.mp4 38.8 MB
  • 12 - SelfImproving Text Generation/119 - Storing Votes in Redis.mp4 38.7 MB
  • 13 - Implementing Tracing and Observability/131 - Understanding the Trace.mp4 37.5 MB
  • 3 - Deep Dive into Interactions with Memory Management/22 - Understanding Memory.mp4 37.4 MB
  • 3 - Deep Dive into Interactions with Memory Management/24 - Saving and Extending Conversations.mp4 36.5 MB
  • 6 - Empower ChatGPT with Tools and Agents/61 - Understanding Callbacks.mp4 36.3 MB
  • 6 - Empower ChatGPT with Tools and Agents/55 - Adding a Table Description Tool.mp4 35.9 MB
  • 7 - Pinecone as a Vector Database/74 - Introducing Pinecone.mp4 35.6 MB
  • 1 - Lets Start Dive In Here/4 - Here It Is This is Why We Use LangChain.mp4 34.5 MB
  • 3 - Deep Dive into Interactions with Memory Management/23 - Using ChatBufferMemory to Store Conversations.mp4 33.4 MB
  • 8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever.mp4 33.3 MB
  • 12 - SelfImproving Text Generation/120 - Weighted Randomness.mp4 32.9 MB
  • 13 - Implementing Tracing and Observability/125 - Building the Score Aggregate.mp4 32.7 MB
  • 9 - Custom Message Histories/89 - Building the Retriever.mp4 32.3 MB
  • 3 - Deep Dive into Interactions with Memory Management/19 - Chat vs Completion Style Models.mp4 32.2 MB
  • 12 - SelfImproving Text Generation/118 - Redis Connection Setup.mp4 32.2 MB
  • 5 - Custom Document Retrievers/44 - Visualizing Embeddings.mp4 31.9 MB
  • 10 - Streaming Text Generation/95 - Experimenting with a Streaming Language Model.mp4 30.8 MB
  • 9 - Custom Message Histories/91 - Building a Custom SQL History.mp4 30.8 MB
  • 12 - SelfImproving Text Generation/123 - Selecting Components By Score.mp4 30.7 MB
  • 6 - Empower ChatGPT with Tools and Agents/52 - Shortcomings in ChatGPTs Assumptions.mp4 30.6 MB
  • 10 - Streaming Text Generation/96 - Chains Dont Want to Stream.mp4 29.5 MB
  • 7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store.mp4 28.8 MB
  • 8 - Distributed Text Generation with Celery/83 - Adding in the Worker.mp4 28.6 MB
  • 11 - Extending LangChain/109 - Isolating the Handler.mp4 28.5 MB
  • 2 - ChatGPT and LangChain Integration/12 - Adding a Chain.mp4 27.1 MB
  • 6 - Empower ChatGPT with Tools and Agents/60 - Preserving Messages with Agent Executor.mp4 26.9 MB
  • 7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF.mp4 26.0 MB
  • 7 - Pinecone as a Vector Database/67 - Boilerplate Setup.mp4 24.7 MB
  • 4 - Adding Context with Embedding Techniques/35 - Generating Embeddings.mp4 24.1 MB
  • 6 - Empower ChatGPT with Tools and Agents/49 - Defining a Tool.mp4 24.0 MB
  • 6 - Empower ChatGPT with Tools and Agents/53 - Recovering from Errors in Tools.mp4 22.9 MB
  • 12 - SelfImproving Text Generation/114 - Building Component Maps.mp4 22.8 MB
  • 12 - SelfImproving Text Generation/113 - Partial KWArg Application.mp4 21.6 MB
  • 12 - SelfImproving Text Generation/117 - Collecting User Feedback.mp4 20.5 MB
  • 10 - Streaming Text Generation/103 - Ending the Loop.mp4 20.2 MB
  • 7 - Pinecone as a Vector Database/73 - Testing the PDF Upload.mp4 20.2 MB
  • 4 - Adding Context with Embedding Techniques/30 - Search Criteria.mp4 20.1 MB
  • 13 - Implementing Tracing and Observability/126 - Adding Another Form of Memory.mp4 19.9 MB
  • 3 - Deep Dive into Interactions with Memory Management/21 - Implementing a Chat Chain.mp4 19.7 MB
  • 9 - Custom Message Histories/90 - Custom History Objects.mp4 19.5 MB
  • 10 - Streaming Text Generation/102 - It Works.mp4 19.4 MB
  • 10 - Streaming Text Generation/97 - Receiving Chunks with a Callback.mp4 19.0 MB
  • 7 - Pinecone as a Vector Database/69 - Outlining the First Feature.mp4 18.8 MB
  • 5 - Custom Document Retrievers/38 - What is a Retriever.mp4 18.8 MB
  • 6 - Empower ChatGPT with Tools and Agents/50 - Defining an Agent and AgentExecutor.mp4 18.1 MB
  • 11 - Extending LangChain/105 - Using a Mixin Approach.mp4 18.0 MB
  • 8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs.mp4 17.7 MB
  • 11 - Extending LangChain/104 - Isolating the Queue and Handler.mp4 17.7 MB
  • 7 - Pinecone as a Vector Database/65 - Taking a Look at Mockups.mp4 17.1 MB
  • 13 - Implementing Tracing and Observability/124 - Adding Score Observability.mp4 17.0 MB
  • 3 - Deep Dive into Interactions with Memory Management/20 - Representing Messages with ChatPromptTemplates.mp4 16.7 MB
  • 7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client.mp4 16.5 MB
  • 2 - ChatGPT and LangChain Integration/14 - Securing the API Key.mp4 16.4 MB
  • 12 - SelfImproving Text Generation/111 - Random Component Parts.mp4 16.0 MB
  • 13 - Implementing Tracing and Observability/128 - Text Generation Tracing.mp4 15.0 MB
  • 4 - Adding Context with Embedding Techniques/32 - The Entire Embedding Flow.mp4 14.6 MB
  • 10 - Streaming Text Generation/94 - Creating a Working Playground.mp4 13.7 MB
  • 4 - Adding Context with Embedding Techniques/26 - Project Overview.mp4 13.3 MB
  • 13 - Implementing Tracing and Observability/129 - Langfuse Signup.mp4 12.8 MB
  • 10 - Streaming Text Generation/100 - The Chain Really Wants to Wait.mp4 12.5 MB
  • 6 - Empower ChatGPT with Tools and Agents/56 - Being Direct with System Messages.mp4 12.1 MB
  • 10 - Streaming Text Generation/93 - Streaming Text Generation.mp4 11.5 MB
  • 2 - ChatGPT and LangChain Integration/15 - Connecting Chains Together.mp4 10.1 MB
  • 7 - Pinecone as a Vector Database/64 - App Overview.mp4 9.5 MB
  • 6 - Empower ChatGPT with Tools and Agents/45 - App Overview.mp4 9.3 MB
  • 2 - ChatGPT and LangChain Integration/13 - Parsing Command Line Arguments.mp4 8.3 MB
  • 3 - Deep Dive into Interactions with Memory Management/17 - App Overview.mp4 8.2 MB
  • 2 - ChatGPT and LangChain Integration/10 - Using LangChain the Simple Way.mp4 7.9 MB
  • 2 - ChatGPT and LangChain Integration/8 - Project Overview and Setup.mp4 7.8 MB
  • 10 - Streaming Text Generation/101 - Solving the Slow Chain.mp4 7.4 MB
  • 8 - Distributed Text Generation with Celery/79 - Redis Setup.mp4 4.6 MB
  • 4 - Adding Context with Embedding Techniques/28 - Project Setup.mp4 4.4 MB
  • 3 - Deep Dive into Interactions with Memory Management/18 - Receiving User Input.mp4 4.1 MB
  • 7 - Pinecone as a Vector Database/66 - pdf-dist.zip 2.3 MB
  • 1 - Lets Start Dive In Here/1 - How to Get Help.mp4 2.3 MB
  • 13 - Implementing Tracing and Observability/132 - 063-pdf.zip 2.3 MB
  • 13 - Implementing Tracing and Observability/127 - 058-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/123 - 054-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/122 - 053-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/121 - 052-pdf.zip 2.3 MB
  • 13 - Implementing Tracing and Observability/125 - 056-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/120 - 051-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/119 - 050-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/116 - 047-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/115 - 046-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/114 - 045-pdf.zip 2.3 MB
  • 12 - SelfImproving Text Generation/113 - 044-pdf.zip 2.3 MB
  • 11 - Extending LangChain/110 - 041-pdf.zip 2.3 MB
  • 11 - Extending LangChain/107 - 038-pdf.zip 2.3 MB
  • 11 - Extending LangChain/106 - 037-pdf.zip 2.3 MB
  • 11 - Extending LangChain/104 - 035-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/103 - 034-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/102 - 033-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/99 - 030-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/97 - 028-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/98 - 029-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/95 - 026-pdf.zip 2.3 MB
  • 10 - Streaming Text Generation/94 - 025-app.zip 2.3 MB
  • 9 - Custom Message Histories/92 - 023-app.zip 2.3 MB
  • 9 - Custom Message Histories/91 - 022-app.zip 2.3 MB
  • 9 - Custom Message Histories/89 - 020-app.zip 2.2 MB
  • 8 - Distributed Text Generation with Celery/85 - 016-app.zip 2.2 MB
  • 8 - Distributed Text Generation with Celery/84 - 015-app.zip 2.2 MB
  • 8 - Distributed Text Generation with Celery/83 - 014-app.zip 2.2 MB
  • 7 - Pinecone as a Vector Database/76 - 010-app.zip 2.2 MB
  • 7 - Pinecone as a Vector Database/75 - 009-app.zip 2.2 MB
  • 5 - Custom Document Retrievers/42 - 015-facts.zip 1.3 MB
  • 5 - Custom Document Retrievers/36 - 009-facts.zip 1.3 MB
  • 6 - Empower ChatGPT with Tools and Agents/48 - db.sqlite 794.6 kB
  • 6 - Empower ChatGPT with Tools and Agents/63 - 018-agents.zip 401.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/60 - 015-agents.zip 398.7 kB
  • 6 - Empower ChatGPT with Tools and Agents/58 - 013-agents.zip 397.6 kB
  • 6 - Empower ChatGPT with Tools and Agents/57 - 012-agents.zip 395.7 kB
  • 6 - Empower ChatGPT with Tools and Agents/56 - 011-agents.zip 395.4 kB
  • 6 - Empower ChatGPT with Tools and Agents/55 - 010-agents.zip 395.2 kB
  • 6 - Empower ChatGPT with Tools and Agents/54 - 009-agents.zip 394.7 kB
  • 6 - Empower ChatGPT with Tools and Agents/53 - 008-agents.zip 394.2 kB
  • 6 - Empower ChatGPT with Tools and Agents/51 - 006-agents.zip 393.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/50 - 005-agents.zip 393.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/49 - 004-agents.zip 392.7 kB
  • 7 - Pinecone as a Vector Database/71 - spice.pdf 348.1 kB
  • 5 - Custom Document Retrievers/41 - 014-facts.zip 343.0 kB
  • 5 - Custom Document Retrievers/37 - 010-facts.zip 342.5 kB
  • 5 - Custom Document Retrievers/43 - scores.ipynb 106.9 kB
  • 5 - Custom Document Retrievers/39 - Optional Understanding Refine MapReduce and MapRerank English.srt 47.5 kB
  • 9 - Custom Message Histories/87 - Persistent Message Storage English.srt 19.6 kB
  • 5 - Custom Document Retrievers/41 - Creating a Custom Retriever English.srt 18.5 kB
  • 4 - Adding Context with Embedding Techniques/31 - Introducing Embeddings English.srt 18.3 kB
  • 6 - Empower ChatGPT with Tools and Agents/63 - More Handler Implementaion English.srt 18.2 kB
  • 2 - ChatGPT and LangChain Integration/11 - Introducing Chains English.srt 17.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/47 - Understanding ChatGPT Functions English.srt 17.8 kB
  • 9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain English.srt 17.8 kB
  • 1 - Lets Start Dive In Here/3 - How a Typical AIEnabled App Works English.srt 17.6 kB
  • 5 - Custom Document Retrievers/37 - Building a Retrieval Chain English.srt 17.5 kB
  • 5 - Custom Document Retrievers/36 - Introducing ChromaDB English.srt 17.4 kB
  • 11 - Extending LangChain/110 - Streaming Complete English.srt 17.4 kB
  • 3 - Deep Dive into Interactions with Memory Management/25 - Summarizations Conversation Summary Memory English.srt 16.9 kB
  • 3 - Deep Dive into Interactions with Memory Management/22 - Understanding Memory English.srt 16.6 kB
  • 3 - Deep Dive into Interactions with Memory Management/19 - Chat vs Completion Style Models English.srt 16.6 kB
  • 13 - Implementing Tracing and Observability/132 - Automatic Trace Creation English.srt 16.5 kB
  • 12 - SelfImproving Text Generation/116 - Generalizing Component Picking English.srt 16.2 kB
  • 10 - Streaming Text Generation/98 - Extending a LLM Chain English.srt 15.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/51 - Understanding Agents and AgentExecutors English.srt 15.7 kB
  • 10 - Streaming Text Generation/95 - Experimenting with a Streaming Language Model English.srt 15.6 kB
  • 6 - Empower ChatGPT with Tools and Agents/54 - Adding Table Context English.srt 15.5 kB
  • 6 - Empower ChatGPT with Tools and Agents/59 - Memory vs Agent Scratchpad English.srt 15.4 kB
  • 9 - Custom Message Histories/86 - Understanding the Apps Requirements English.srt 13.9 kB
  • 5 - Custom Document Retrievers/40 - Removing Duplicate Documents English.srt 13.6 kB
  • 9 - Custom Message Histories/91 - Building a Custom SQL History English.srt 13.3 kB
  • 3 - Deep Dive into Interactions with Memory Management/23 - Using ChatBufferMemory to Store Conversations English.srt 13.2 kB
  • 11 - Extending LangChain/109 - Isolating the Handler English.srt 13.0 kB
  • 6 - Empower ChatGPT with Tools and Agents/46 - Understanding Tools English.srt 12.9 kB
  • 8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs English.srt 12.9 kB
  • 10 - Streaming Text Generation/99 - Adding a Queue for Communication English.srt 12.8 kB
  • 4 - Adding Context with Embedding Techniques/33 - Chunking Text English.srt 12.4 kB
  • 11 - Extending LangChain/107 - Testing the Streaming Setup English.srt 12.1 kB
  • 12 - SelfImproving Text Generation/115 - Randomly Picking a Component English.srt 12.1 kB
  • 12 - SelfImproving Text Generation/122 - Calculating the Average Score English.srt 12.0 kB
  • 12 - SelfImproving Text Generation/119 - Storing Votes in Redis English.srt 11.9 kB
  • 8 - Distributed Text Generation with Celery/85 - Updating Document Metadata English.srt 11.9 kB
  • 10 - Streaming Text Generation/96 - Chains Dont Want to Stream English.srt 11.6 kB
  • 7 - Pinecone as a Vector Database/74 - Introducing Pinecone English.srt 11.5 kB
  • 2 - ChatGPT and LangChain Integration/16 - Chains in Series with SequentialChain English.srt 11.5 kB
  • 12 - SelfImproving Text Generation/118 - Redis Connection Setup English.srt 11.3 kB
  • 7 - Pinecone as a Vector Database/68 - How This App is Designed English.srt 11.1 kB
  • 4 - Adding Context with Embedding Techniques/29 - Loading Files with Document Loaders English.srt 11.1 kB
  • 13 - Implementing Tracing and Observability/130 - Adding in Tracing English.srt 11.0 kB
  • 11 - Extending LangChain/106 - Integrating the Streaming Code English.srt 10.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/57 - Adding Better Descriptions for Tool Arguments English.srt 10.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/49 - Defining a Tool English.srt 10.7 kB
  • 8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever English.srt 10.6 kB
  • 12 - SelfImproving Text Generation/121 - Extracting Scores English.srt 10.5 kB
  • 6 - Empower ChatGPT with Tools and Agents/58 - Tools with Multiple Arguments English.srt 10.4 kB
  • 3 - Deep Dive into Interactions with Memory Management/20 - Representing Messages with ChatPromptTemplates English.srt 10.2 kB
  • 5 - Custom Document Retrievers/42 - Custom Retriever in Action English.srt 10.0 kB
  • 12 - SelfImproving Text Generation/113 - Partial KWArg Application English.srt 10.0 kB
  • 7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client English.srt 9.5 kB
  • 5 - Custom Document Retrievers/38 - What is a Retriever English.srt 9.3 kB
  • 1 - Lets Start Dive In Here/4 - Here It Is This is Why We Use LangChain English.srt 9.0 kB
  • 12 - SelfImproving Text Generation/112 - Component Part Flow English.srt 8.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/50 - Defining an Agent and AgentExecutor English.srt 8.9 kB
  • 10 - Streaming Text Generation/94 - Creating a Working Playground English.srt 8.8 kB
  • 7 - Pinecone as a Vector Database/67 - Boilerplate Setup English.srt 8.8 kB
  • 13 - Implementing Tracing and Observability/131 - Understanding the Trace English.srt 8.8 kB
  • 12 - SelfImproving Text Generation/117 - Collecting User Feedback English.srt 8.6 kB
  • 4 - Adding Context with Embedding Techniques/27 - facts.txt 8.5 kB
  • 13 - Implementing Tracing and Observability/127 - Window Memory Implementation English.srt 8.5 kB
  • 4 - Adding Context with Embedding Techniques/30 - Search Criteria English.srt 8.2 kB
  • 11 - Extending LangChain/105 - Using a Mixin Approach English.srt 8.1 kB
  • 10 - Streaming Text Generation/103 - Ending the Loop English.srt 8.1 kB
  • 6 - Empower ChatGPT with Tools and Agents/61 - Understanding Callbacks English.srt 8.0 kB
  • 3 - Deep Dive into Interactions with Memory Management/24 - Saving and Extending Conversations English.srt 8.0 kB
  • 13 - Implementing Tracing and Observability/128 - Text Generation Tracing English.srt 8.0 kB
  • 5 - Custom Document Retrievers/44 - Visualizing Embeddings English.srt 7.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/62 - Implementing a Basic Callback Handler English.srt 7.9 kB
  • 6 - Empower ChatGPT with Tools and Agents/55 - Adding a Table Description Tool English.srt 7.8 kB
  • 9 - Custom Message Histories/90 - Custom History Objects English.srt 7.8 kB
  • 7 - Pinecone as a Vector Database/69 - Outlining the First Feature English.srt 7.8 kB
  • 2 - ChatGPT and LangChain Integration/14 - Securing the API Key English.srt 7.8 kB
  • 11 - Extending LangChain/108 - Heres the Issue English.srt 7.8 kB
  • 9 - Custom Message Histories/92 - Testing the Chain English.srt 7.7 kB
  • 9 - Custom Message Histories/89 - Building the Retriever English.srt 7.7 kB
  • 6 - Empower ChatGPT with Tools and Agents/52 - Shortcomings in ChatGPTs Assumptions English.srt 7.7 kB
  • 3 - Deep Dive into Interactions with Memory Management/21 - Implementing a Chat Chain English.srt 7.6 kB
  • 10 - Streaming Text Generation/97 - Receiving Chunks with a Callback English.srt 7.6 kB
  • 12 - SelfImproving Text Generation/123 - Selecting Components By Score English.srt 7.5 kB
  • 6 - Empower ChatGPT with Tools and Agents/53 - Recovering from Errors in Tools English.srt 7.5 kB
  • 4 - Adding Context with Embedding Techniques/35 - Generating Embeddings English.srt 7.4 kB
  • 12 - SelfImproving Text Generation/114 - Building Component Maps English.srt 7.4 kB
  • 10 - Streaming Text Generation/100 - The Chain Really Wants to Wait English.srt 7.1 kB
  • 6 - Empower ChatGPT with Tools and Agents/45 - App Overview English.srt 7.1 kB
  • 1 - Lets Start Dive In Here/2 - What is LangChain English.srt 7.1 kB
  • 12 - SelfImproving Text Generation/111 - Random Component Parts English.srt 6.9 kB
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  • 7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store English.srt 6.7 kB
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  • 13 - Implementing Tracing and Observability/129 - Langfuse Signup English.srt 6.4 kB
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  • 7 - Pinecone as a Vector Database/65 - Taking a Look at Mockups English.srt 6.2 kB
  • 13 - Implementing Tracing and Observability/125 - Building the Score Aggregate English.srt 6.2 kB
  • 4 - Adding Context with Embedding Techniques/26 - Project Overview English.srt 6.0 kB
  • 11 - Extending LangChain/104 - Isolating the Queue and Handler English.srt 6.0 kB
  • 7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF English.srt 5.9 kB
  • 2 - ChatGPT and LangChain Integration/15 - Connecting Chains Together English.srt 5.2 kB
  • 10 - Streaming Text Generation/101 - Solving the Slow Chain English.srt 5.0 kB
  • 2 - ChatGPT and LangChain Integration/10 - Using LangChain the Simple Way English.srt 5.0 kB
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  • 13 - Implementing Tracing and Observability/126 - Adding Another Form of Memory English.srt 4.1 kB
  • 3 - Deep Dive into Interactions with Memory Management/17 - App Overview English.srt 4.1 kB
  • 2 - ChatGPT and LangChain Integration/13 - Parsing Command Line Arguments English.srt 3.9 kB
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  • 7 - Pinecone as a Vector Database/73 - Testing the PDF Upload English.srt 3.9 kB
  • 14 - Bonus/133 - Bonus.html 3.7 kB
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  • 8 - Distributed Text Generation with Celery/79 - Redis Setup English.srt 3.2 kB
  • 8 - Distributed Text Generation with Celery/82 - Redis Windows Setup Without WSL.html 2.3 kB
  • 1 - Lets Start Dive In Here/1 - How to Get Help English.srt 2.2 kB
  • 7 - Pinecone as a Vector Database/72 - local-do-files.zip 1.7 kB
  • 2 - ChatGPT and LangChain Integration/9 - Creating an OpenAI API Key.html 1.4 kB
  • 3 - Deep Dive into Interactions with Memory Management/24 - 008-chat.zip 1.1 kB
  • 8 - Distributed Text Generation with Celery/81 - Redis Ubuntu and Windows Subsystem for Linux Setup.html 978 Bytes
  • 3 - Deep Dive into Interactions with Memory Management/25 - 009-chat.zip 914 Bytes
  • 2 - ChatGPT and LangChain Integration/16 - 008-code.zip 843 Bytes
  • 7 - Pinecone as a Vector Database/72 - Running File Upload Server Locally.html 731 Bytes
  • 1 - Lets Start Dive In Here/5 - Course Resources.html 727 Bytes
  • 2 - ChatGPT and LangChain Integration/15 - 007-code.zip 713 Bytes
  • 3 - Deep Dive into Interactions with Memory Management/23 - 007-chat.zip 713 Bytes
  • 2 - ChatGPT and LangChain Integration/14 - 006-code.zip 702 Bytes
  • 2 - ChatGPT and LangChain Integration/7 - Important Python Version Information Do Not Skip.html 658 Bytes
  • 3 - Deep Dive into Interactions with Memory Management/21 - 005-chat.zip 627 Bytes
  • 8 - Distributed Text Generation with Celery/80 - Redis MacOS Setup.html 597 Bytes
  • 2 - ChatGPT and LangChain Integration/13 - 005-code.zip 584 Bytes
  • 4 - Adding Context with Embedding Techniques/34 - Important Note About Potential Import Error.html 551 Bytes
  • 7 - Pinecone as a Vector Database/66 - Boilerplate Download.html 544 Bytes
  • 3 - Deep Dive into Interactions with Memory Management/20 - 004-chat.zip 540 Bytes
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  • 3 - Deep Dive into Interactions with Memory Management/18 - 002-chat.zip 433 Bytes
  • 1 - Lets Start Dive In Here/6 - Join Our Community.html 404 Bytes
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  • 6 - Empower ChatGPT with Tools and Agents/45 - 001-agents.zip 366 Bytes
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  • 7 - Pinecone as a Vector Database/71 - Sample PDF.html 210 Bytes
  • 5 - Custom Document Retrievers/43 - Understanding Embeddings Download.html 156 Bytes
  • 4 - Adding Context with Embedding Techniques/27 - Facts File Download.html 141 Bytes
  • 6 - Empower ChatGPT with Tools and Agents/48 - SQLite Database Download.html 141 Bytes

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