Explore the powerful features of Abacus AI's Chat LLM interface in this 11-minute video tutorial. Learn how to create and deploy custom chatbots by integrating multiple language models, fine-tuning, and implementing Retrieval-Augmented Generation (RAG). Gain insights into the interface overview, data upload and management, RAG setup, fine-tuning processes, deployment steps, and Slack integration. Discover key features such as multiple language model options, cost-effective pricing, custom chatbot creation, team collaboration tools, and easy integration with various services. Follow along as the tutorial covers document management, embedding processes, chat interface setup, dataset creation, model training and evaluation, and practical usage of the custom-built chat model.
Abacus ChatLLM - Creating and Deploying Custom Chatbots with RAG
Overview
Syllabus
- Introduction to Abacus AI Chat LLM
- Key features and benefits
- Combining fine-tuning and RAG techniques
- Steps to create a custom LLM chatbot
- Document management and embedding process
- Setting up and deploying the chat interface
- Uploading data and creating datasets
- Training and evaluating the model
- Using the custom-built chat model
- Integrating the chatbot with Slack
Taught by
Mervin Praison
