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种子名称： [FreeCoursesOnline.Me] ChatGPT and LangChain The Complete Developers Masterclass
文件类型： 视频
文件数目： 118个文件
文件大小： 4.33 GB
收录时间： 2024-3-6 15:36
已经下载： 3次
资源热度： 179
最近下载： 2024-11-24 02:09

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

1 - Lets Start Dive In Here/1 - How to Get Help.mp42.21MB

1 - Lets Start Dive In Here/2 - What is LangChain.mp441.33MB

1 - Lets Start Dive In Here/3 - How a Typical AIEnabled App Works.mp471.82MB

1 - Lets Start Dive In Here/4 - Here It Is This is Why We Use LangChain.mp432.86MB

10 - Streaming Text Generation/100 - The Chain Really Wants to Wait.mp411.96MB

10 - Streaming Text Generation/101 - Solving the Slow Chain.mp47.09MB

10 - Streaming Text Generation/102 - It Works.mp418.48MB

10 - Streaming Text Generation/103 - Ending the Loop.mp419.27MB

10 - Streaming Text Generation/93 - Streaming Text Generation.mp410.96MB

10 - Streaming Text Generation/94 - Creating a Working Playground.mp413.06MB

10 - Streaming Text Generation/95 - Experimenting with a Streaming Language Model.mp429.4MB

10 - Streaming Text Generation/96 - Chains Dont Want to Stream.mp428.11MB

10 - Streaming Text Generation/97 - Receiving Chunks with a Callback.mp418.12MB

10 - Streaming Text Generation/98 - Extending a LLM Chain.mp440.79MB

10 - Streaming Text Generation/99 - Adding a Queue for Communication.mp450.68MB

11 - Extending LangChain/104 - Isolating the Queue and Handler.mp416.89MB

11 - Extending LangChain/105 - Using a Mixin Approach.mp417.15MB

11 - Extending LangChain/106 - Integrating the Streaming Code.mp457.18MB

11 - Extending LangChain/107 - Testing the Streaming Setup.mp458.46MB

11 - Extending LangChain/108 - Heres the Issue.mp446.99MB

11 - Extending LangChain/109 - Isolating the Handler.mp427.2MB

11 - Extending LangChain/110 - Streaming Complete.mp493.66MB

12 - SelfImproving Text Generation/111 - Random Component Parts.mp415.28MB

12 - SelfImproving Text Generation/112 - Component Part Flow.mp441.38MB

12 - SelfImproving Text Generation/113 - Partial KWArg Application.mp420.62MB

12 - SelfImproving Text Generation/114 - Building Component Maps.mp421.74MB

12 - SelfImproving Text Generation/115 - Randomly Picking a Component.mp445.24MB

12 - SelfImproving Text Generation/116 - Generalizing Component Picking.mp4118.43MB

12 - SelfImproving Text Generation/117 - Collecting User Feedback.mp419.54MB

12 - SelfImproving Text Generation/118 - Redis Connection Setup.mp430.66MB

12 - SelfImproving Text Generation/119 - Storing Votes in Redis.mp436.89MB

12 - SelfImproving Text Generation/120 - Weighted Randomness.mp431.38MB

12 - SelfImproving Text Generation/121 - Extracting Scores.mp445.71MB

12 - SelfImproving Text Generation/122 - Calculating the Average Score.mp488.79MB

12 - SelfImproving Text Generation/123 - Selecting Components By Score.mp429.31MB

13 - Implementing Tracing and Observability/124 - Adding Score Observability.mp416.2MB

13 - Implementing Tracing and Observability/125 - Building the Score Aggregate.mp431.14MB

13 - Implementing Tracing and Observability/126 - Adding Another Form of Memory.mp418.95MB

13 - Implementing Tracing and Observability/127 - Window Memory Implementation.mp461.65MB

13 - Implementing Tracing and Observability/128 - Text Generation Tracing.mp414.34MB

13 - Implementing Tracing and Observability/129 - Langfuse Signup.mp412.19MB

13 - Implementing Tracing and Observability/130 - Adding in Tracing.mp444.51MB

13 - Implementing Tracing and Observability/131 - Understanding the Trace.mp435.72MB

13 - Implementing Tracing and Observability/132 - Automatic Trace Creation.mp4102.3MB

2 - ChatGPT and LangChain Integration/10 - Using LangChain the Simple Way.mp47.56MB

2 - ChatGPT and LangChain Integration/11 - Introducing Chains.mp452.43MB

2 - ChatGPT and LangChain Integration/12 - Adding a Chain.mp425.8MB

2 - ChatGPT and LangChain Integration/13 - Parsing Command Line Arguments.mp47.92MB

2 - ChatGPT and LangChain Integration/14 - Securing the API Key.mp415.63MB

2 - ChatGPT and LangChain Integration/15 - Connecting Chains Together.mp49.67MB

2 - ChatGPT and LangChain Integration/16 - Chains in Series with SequentialChain.mp450.23MB

2 - ChatGPT and LangChain Integration/8 - Project Overview and Setup.mp47.45MB

3 - Deep Dive into Interactions with Memory Management/17 - App Overview.mp47.79MB

3 - Deep Dive into Interactions with Memory Management/18 - Receiving User Input.mp43.87MB

3 - Deep Dive into Interactions with Memory Management/19 - Chat vs Completion Style Models.mp430.74MB

3 - Deep Dive into Interactions with Memory Management/20 - Representing Messages with ChatPromptTemplates.mp415.93MB

3 - Deep Dive into Interactions with Memory Management/21 - Implementing a Chat Chain.mp418.77MB

3 - Deep Dive into Interactions with Memory Management/22 - Understanding Memory.mp435.71MB

3 - Deep Dive into Interactions with Memory Management/23 - Using ChatBufferMemory to Store Conversations.mp431.84MB

3 - Deep Dive into Interactions with Memory Management/24 - Saving and Extending Conversations.mp434.81MB

3 - Deep Dive into Interactions with Memory Management/25 - Summarizations Conversation Summary Memory.mp459.72MB

4 - Adding Context with Embedding Techniques/26 - Project Overview.mp412.66MB

4 - Adding Context with Embedding Techniques/28 - Project Setup.mp44.18MB

4 - Adding Context with Embedding Techniques/29 - Loading Files with Document Loaders.mp437.85MB

4 - Adding Context with Embedding Techniques/30 - Search Criteria.mp419.15MB

4 - Adding Context with Embedding Techniques/31 - Introducing Embeddings.mp443.78MB

4 - Adding Context with Embedding Techniques/32 - The Entire Embedding Flow.mp413.9MB

4 - Adding Context with Embedding Techniques/33 - Chunking Text.mp481.33MB

4 - Adding Context with Embedding Techniques/35 - Generating Embeddings.mp422.99MB

5 - Custom Document Retrievers/36 - Introducing ChromaDB.mp472.08MB

5 - Custom Document Retrievers/37 - Building a Retrieval Chain.mp467.17MB

5 - Custom Document Retrievers/38 - What is a Retriever.mp417.9MB

5 - Custom Document Retrievers/39 - Optional Understanding Refine MapReduce and MapRerank.mp4316.13MB

5 - Custom Document Retrievers/40 - Removing Duplicate Documents.mp440.21MB

5 - Custom Document Retrievers/41 - Creating a Custom Retriever.mp484.96MB

5 - Custom Document Retrievers/42 - Custom Retriever in Action.mp474.07MB

5 - Custom Document Retrievers/44 - Visualizing Embeddings.mp430.41MB

6 - Empower ChatGPT with Tools and Agents/45 - App Overview.mp48.9MB

6 - Empower ChatGPT with Tools and Agents/46 - Understanding Tools.mp436.99MB

6 - Empower ChatGPT with Tools and Agents/47 - Understanding ChatGPT Functions.mp438.08MB

6 - Empower ChatGPT with Tools and Agents/49 - Defining a Tool.mp422.92MB

6 - Empower ChatGPT with Tools and Agents/50 - Defining an Agent and AgentExecutor.mp417.23MB

6 - Empower ChatGPT with Tools and Agents/51 - Understanding Agents and AgentExecutors.mp444.55MB

6 - Empower ChatGPT with Tools and Agents/52 - Shortcomings in ChatGPTs Assumptions.mp429.17MB

6 - Empower ChatGPT with Tools and Agents/53 - Recovering from Errors in Tools.mp421.88MB

6 - Empower ChatGPT with Tools and Agents/54 - Adding Table Context.mp470.21MB

6 - Empower ChatGPT with Tools and Agents/55 - Adding a Table Description Tool.mp434.25MB

6 - Empower ChatGPT with Tools and Agents/56 - Being Direct with System Messages.mp411.58MB

6 - Empower ChatGPT with Tools and Agents/57 - Adding Better Descriptions for Tool Arguments.mp471.86MB

6 - Empower ChatGPT with Tools and Agents/58 - Tools with Multiple Arguments.mp468.46MB

6 - Empower ChatGPT with Tools and Agents/59 - Memory vs Agent Scratchpad.mp464.62MB

6 - Empower ChatGPT with Tools and Agents/60 - Preserving Messages with Agent Executor.mp425.67MB

6 - Empower ChatGPT with Tools and Agents/61 - Understanding Callbacks.mp434.59MB

6 - Empower ChatGPT with Tools and Agents/62 - Implementing a Basic Callback Handler.mp457.93MB

6 - Empower ChatGPT with Tools and Agents/63 - More Handler Implementaion.mp4105.66MB

7 - Pinecone as a Vector Database/64 - App Overview.mp49.04MB

7 - Pinecone as a Vector Database/65 - Taking a Look at Mockups.mp416.35MB

7 - Pinecone as a Vector Database/67 - Boilerplate Setup.mp423.54MB

7 - Pinecone as a Vector Database/68 - How This App is Designed.mp442.48MB

7 - Pinecone as a Vector Database/69 - Outlining the First Feature.mp417.96MB

7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF.mp424.82MB

7 - Pinecone as a Vector Database/73 - Testing the PDF Upload.mp419.23MB

7 - Pinecone as a Vector Database/74 - Introducing Pinecone.mp433.93MB

7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client.mp415.78MB

7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store.mp427.46MB

8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever.mp431.79MB

8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs.mp437.97MB

8 - Distributed Text Generation with Celery/79 - Redis Setup.mp44.38MB

8 - Distributed Text Generation with Celery/83 - Adding in the Worker.mp427.29MB

8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs.mp416.93MB

8 - Distributed Text Generation with Celery/85 - Updating Document Metadata.mp457.52MB

9 - Custom Message Histories/86 - Understanding the Apps Requirements.mp438.65MB

9 - Custom Message Histories/87 - Persistent Message Storage.mp472.45MB

9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain.mp479.96MB

9 - Custom Message Histories/89 - Building the Retriever.mp430.83MB

9 - Custom Message Histories/90 - Custom History Objects.mp418.59MB

9 - Custom Message Histories/91 - Building a Custom SQL History.mp429.37MB

9 - Custom Message Histories/92 - Testing the Chain.mp441.66MB