A software application used for an online chat via text or text-to-speech, instead of giving contact with a human.
Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
A machine-learning based open-domain QA chatbot from scratch 🤖
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2
Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.
Meet Pyter, The Machine Learning Chatbot Tutor with Interactive Jupyter Notebook
Chabot para auxiliar novatos com Machine Learning utilizando o Jupyter Notebook
This repository contains HTML versions of various Jupyter notebooks. These files are accessible directly in a web browser, allowing for easy viewing and sharing of notebook content without requiring a Jupyter Notebook environment.
AI-Notebook is an API-based chatbot application that uses the Python HuggingFace library and the GPT Chat API to generate notes.
This repository is dedicated to the exploration and utilization of open models, which have emerged as powerful and versatile alternatives to closed models, often surpassing them in various domains. These models have become a go-to choose for many developers and researchers due to their superior performance.
This repo contains example notebooks and MCP samples created while learning the Model Customization Protocol (MCP) through a DeepLearning.AI course in collaboration with Anthropic, the creators of MCP, and the deep learning community who contributed to the course.
This repository contains Jupyter notebooks for working with Anthropic Large Language Models (LLMs), providing tools to explore chat-based interactions, retrieval-augmented generation, and text generation. These notebooks serve as a practical introduction to leveraging Anthropic models for various applications.
This repository provides Jupyter notebooks to interact with Mistral Large Language Models (LLMs) for tasks including chatbot development, retrieval-augmented generation, and text generation. These notebooks are designed to help users leverage Mistral models in a range of applications, from conversational AI to content generation.
This repository provides Jupyter notebooks for exploring and utilizing Cohere's Large Language Models (LLMs) in various applications, including chatbots and retrieval-augmented generation (RAG). These notebooks serve as a practical guide for deploying Cohere models for conversational AI and information retrieval tasks.
This repository contains Jupyter notebooks to explore and utilize OpenAI's Large Language Models (LLMs) for various applications, including chatbots, retrieval-augmented generation, text generation, prompt engineering, and vector embedding. These notebooks provide a comprehensive toolkit for working with OpenAI models in diverse contexts.