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59 posts
Grounded multi-doc Q&A made simple with AI21

Grounded multi-doc Q&A made simple with AI21

In just a few steps, build a context-based question-answering app based on your own documents and powered by AI21’s RAG Engine and task-specific models

LLMs by
Robbin Jang and 2 more,
Build a real-time RAG chatbot using Google Drive and Sharepoint

Build a real-time RAG chatbot using Google Drive and Sharepoint

Keep your chatbot’s knowledge base up-to-date with Pathway and LlamaIndex

LLMs by
Anup Surendran and 2 more,
Building a dashboard in Python using Streamlit

Building a dashboard in Python using Streamlit

Using pandas for data wrangling, Altair/Plotly for data visualization, and Streamlit as your frontend

Tutorials by Chanin Nantasenamat,
7 ways GPT-4 with Vision can uplevel your Streamlit apps

7 ways GPT-4 with Vision can uplevel your Streamlit apps

Your AI coach to design and debug interactive Streamlit apps from static images

LLMs by Charly Wargnier,
Take your Streamlit apps to the next level with GPT-4

Take your Streamlit apps to the next level with GPT-4

Pro tips to design, debug, and optimize your Streamlit apps faster

LLMs by Charly Wargnier,
Comparing data visualisations from Code Llama, GPT-3.5, and GPT-4

Comparing data visualisations from Code Llama, GPT-3.5, and GPT-4

6 case studies that compare data chart outputs from LLMs using Chat2VIS

Tutorials by Paula Maddigan,
How in-app feedback can increase your chatbot’s performance

How in-app feedback can increase your chatbot’s performance

A guide to building a RAG chatbot with LangChain, Trubrics' Feedback component, and LangSmith

Tutorials by Charly Wargnier,
LangChain tutorial #4: Build an Ask the Doc app

LangChain tutorial #4: Build an Ask the Doc app

How to get answers from documents using embeddings, a vector store, and a question-answering chain

LLMs by Chanin Nantasenamat,
Building a Streamlit and scikit-learn app with ChatGPT

Building a Streamlit and scikit-learn app with ChatGPT

Catching up on coding skills with an AI assistant

LLMs by Michael Hunger,
LangChain tutorial #3: Build a Text Summarization app

LangChain tutorial #3: Build a Text Summarization app

Explore the use of the document loader, text splitter, and summarization chain

LLMs by Chanin Nantasenamat,