[ WebToolTip com ] Level Up LLM App Development with LangChain and OpenAI
Seeders : 9 Leechers : 8
| Torrent Hash : | 62AE6C545DFF7884EE3AAE64F81FDF731117680A |
| Torrent Added : | 5 months ago in Other - Other |
| Torrent Size : | 1.95 GB |
| Stream : | Watch Movies Online |
[ WebToolTip com ] Level Up LLM App Development with LangChain and OpenAI
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Torrent File Content (63 files)
[ WebToolTip.com ] Level Up LLM App Development with LangChain and OpenAI
Get Bonus Downloads Here.url -
Get Bonus Downloads Here.url -
180 bytes
~Get Your Files Here !
1 - Introduction/1 - What you should know - github.txt -
1 - Introduction/1 - What you should know - github.txt -
107 bytes
1 - Introduction/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
10 - Deploy Chains as a RESTful API with LangServe/2 - Create a server.mp4 -
6.5 MB
10 - Deploy Chains as a RESTful API with LangServe/3 - Create the routes and the endpoints.mp4 -
50.8 MB
10 - Deploy Chains as a RESTful API with LangServe/4 - Create a runnable to combine a prompt, a model, and output.mp4 -
37.4 MB
10 - Deploy Chains as a RESTful API with LangServe/5 - Challenge Deploy a RESTful API.mp4 -
17.17 MB
10 - Deploy Chains as a RESTful API with LangServe/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
11 - Finish Line Deploy to the Cloud and Share with the World/2 - Create a GitHub repository and push your project.mp4 -
39.99 MB
11 - Finish Line Deploy to the Cloud and Share with the World/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 - LangChain Basics Intro to Building LLM-Powered Apps/2 - Create a chain and interface with an LLM.mp4 -
36.47 MB
2 - LangChain Basics Intro to Building LLM-Powered Apps/3 - Define and structure a prompt.mp4 -
41.34 MB
2 - LangChain Basics Intro to Building LLM-Powered Apps/4 - Create and invoke a chain (LCEL syntax).mp4 -
22.47 MB
2 - LangChain Basics Intro to Building LLM-Powered Apps/5 - Work with output parsers.mp4 -
18.22 MB
3 - Adding Similarity Search and Context/1 - Quickstart Installation and setup.mp4 -
24.5 MB
3 - Adding Similarity Search and Context/2 - Create embeddings from text.mp4 -
10.87 MB
3 - Adding Similarity Search and Context/3 - Querying the vector store.mp4 -
11.22 MB
3 - Adding Similarity Search and Context/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
4 - Leveraging LLMs with LangChain and RAG/10 - Solution Add a chain with chat history.mp4 -
43.07 MB
4 - Leveraging LLMs with LangChain and RAG/11 - Solution Context- and history-aware chatbot.mp4 -
53.19 MB
4 - Leveraging LLMs with LangChain and RAG/2 - Breaking down the RAG pipeline.mp4 -
12.17 MB
4 - Leveraging LLMs with LangChain and RAG/3 - Project setup.mp4 -
31.44 MB
4 - Leveraging LLMs with LangChain and RAG/4 - Load and split documents into chunks.mp4 -
45.06 MB
4 - Leveraging LLMs with LangChain and RAG/5 - Initialize a vector store (Chroma) and ingest documents.mp4 -
49.33 MB
4 - Leveraging LLMs with LangChain and RAG/6 - Create the chain Prompt + model + parser.mp4 -
41.81 MB
4 - Leveraging LLMs with LangChain and RAG/7 - Create the chain Add context with a retriever.mp4 -
39.62 MB
4 - Leveraging LLMs with LangChain and RAG/8 - Pass data with RunnablePassthrough and query data.mp4 -
32.13 MB
4 - Leveraging LLMs with LangChain and RAG/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
5 - Create an Interactive Web App (Streamlit)/2 - Build the layout with Streamlit components.mp4 -
39.5 MB
5 - Create an Interactive Web App (Streamlit)/3 - Adding functionality with Streamlit.mp4 -
29.85 MB
5 - Create an Interactive Web App (Streamlit)/4 - Challenge Deploy your Streamlit app.mp4 -
31.42 MB
5 - Create an Interactive Web App (Streamlit)/5 - Solution Add app to GitHub.mp4 -
36.67 MB
5 - Create an Interactive Web App (Streamlit)/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
6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis/2 - Connect to a data source and create an index.mp4 -
35.79 MB
6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis/3 - Set up query analysis to handle multiple data sources.mp4 -
51.14 MB
6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis/4 - Retrieval with query analysis.mp4 -
39.65 MB
6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis/5 - Challenge Retrieval with multiple data sources.mp4 -
35.45 MB
6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis/6 - Solution Q&A with multiple data sources.mp4 -
70 MB
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI/1 - Getting started with MongoDB Create an account.mp4 -
14.66 MB
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI/2 - Build and deploy a free cluster.mp4 -
13.67 MB
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI/3 - Set up the MongoDB environment and connect to the cluster.mp4 -
56.41 MB
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI/4 - Create a secured database access.mp4 -
29.19 MB
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI/5 - Load sample data and create the vector store.mp4 -
44.48 MB
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI/6 - Create the Atlas Vector Search index.mp4 -
37.04 MB
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