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[ WebToolTip com ] Level Up LLM App Development with LangChain and OpenAI

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Name:[ WebToolTip com ] Level Up LLM App Development with LangChain and OpenAI

Infohash: 62AE6C545DFF7884EE3AAE64F81FDF731117680A

Total Size: 1.95 GB

Seeds: 6

Leechers: 1

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2026-01-19 03:29:11 (Update Now)

Torrent added: 2025-12-18 03:00:16






Torrent Files List


Get Bonus Downloads Here.url (Size: 1.95 GB) (Files: 63)

 Get Bonus Downloads Here.url

0.18 KB

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  1 - Introduction

   1 - What you should know - github.txt

0.10 KB

   1 - What you should know.mp4

15.22 MB

  10 - Deploy Chains as a RESTful API with LangServe

   1 - Introducing LangServe Installation and setup.mp4

31.42 MB

   2 - Create a server.mp4

6.50 MB

   3 - Create the routes and the endpoints.mp4

50.80 MB

   4 - Create a runnable to combine a prompt, a model, and output.mp4

37.40 MB

   5 - Challenge Deploy a RESTful API.mp4

17.17 MB

   6 - Solution Deploy a RESTful API.mp4

29.14 MB

  11 - Finish Line Deploy to the Cloud and Share with the World

   1 - Manage and deploy an app on Render.mp4

15.31 MB

   2 - Create a GitHub repository and push your project.mp4

39.99 MB

   3 - Deploy a new web service on Render.mp4

38.59 MB

  2 - LangChain Basics Intro to Building LLM-Powered Apps

   1 - Setup and installation.mp4

33.63 MB

   2 - Create a chain and interface with an LLM.mp4

36.47 MB

   3 - Define and structure a prompt.mp4

41.34 MB

   4 - Create and invoke a chain (LCEL syntax).mp4

22.47 MB

   5 - Work with output parsers.mp4

18.22 MB

  3 - Adding Similarity Search and Context

   1 - Quickstart Installation and setup.mp4

24.50 MB

   2 - Create embeddings from text.mp4

10.87 MB

   3 - Querying the vector store.mp4

11.22 MB

   4 - Querying as a retriever.mp4

33.37 MB

  4 - Leveraging LLMs with LangChain and RAG

   1 - RAG Overview and architecture.mp4

21.97 MB

   10 - Solution Add a chain with chat history.mp4

43.07 MB

   11 - Solution Context- and history-aware chatbot.mp4

53.19 MB

   2 - Breaking down the RAG pipeline.mp4

12.17 MB

   3 - Project setup.mp4

31.44 MB

   4 - Load and split documents into chunks.mp4

45.06 MB

   5 - Initialize a vector store (Chroma) and ingest documents.mp4

49.33 MB

   6 - Create the chain Prompt + model + parser.mp4

41.81 MB

   7 - Create the chain Add context with a retriever.mp4

39.62 MB

   8 - Pass data with RunnablePassthrough and query data.mp4

32.13 MB

   9 - Challenge Create a custom agent with history.mp4

39.22 MB

  5 - Create an Interactive Web App (Streamlit)

   1 - Set up the Streamlit application.mp4

38.96 MB

   2 - Build the layout with Streamlit components.mp4

39.50 MB

   3 - Adding functionality with Streamlit.mp4

29.85 MB

   4 - Challenge Deploy your Streamlit app.mp4

31.42 MB

   5 - Solution Add app to GitHub.mp4

36.67 MB

   6 - Solution Deploy your app.mp4

47.49 MB

  6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis

   1 - Retrieval with query analysis.mp4

8.21 MB

   2 - Connect to a data source and create an index.mp4

35.79 MB

   3 - Set up query analysis to handle multiple data sources.mp4

51.14 MB

   4 - Retrieval with query analysis.mp4

39.65 MB

   5 - Challenge Retrieval with multiple data sources.mp4

35.45 MB

   6 - Solution Q&A with multiple data sources.mp4

70.00 MB

  7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI

   1 - Getting started with MongoDB Create an account.mp4

14.66 MB

   2 - Build and deploy a free cluster.mp4

13.67 MB

   3 - Set up the MongoDB environment and connect to the cluster.mp4

56.41 MB

   4 - Create a secured database access.mp4

29.19 MB

   5 - Load sample data and create the vector store.mp4

44.48 MB

   6 - Create the Atlas Vector Search index.mp4

37.04 MB

   7 - Run vector search queries.mp4

59.28 MB

  8 - Interact with a NoSQL Database (MongoDB)

   1 - Create a retrieval chain Define the prompt.mp4

26.33 MB

   2 - Create a retrieval chain Define the context.mp4

53.46 MB

   3 - Create a retrieval chain Parse and format results.mp4

18.19 MB

   4 - Query documents and generate extended responses.mp4

34.04 MB

  9 - LLM Fine-Tuning with the OpenAI Tools and Functions

   1 - Using agents to perform actions in chains.mp4

15.79 MB

   2 - Define tools.mp4

42.27 MB

   3 - Select the perfect prompt.mp4

7.74 MB

   4 - Bind tools and create agent.mp4

18.44 MB

   5 - Create and run the agent executor.mp4

41.74 MB

   6 - Challenge Create a multitask agent.mp4

45.48 MB

   7 - Solution Define tools and functions.mp4

53.92 MB

  Bonus Resources.txt

0.07 KB
 

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