Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.

We have 2 rooms, these rooms could be cleaned or could be travelled, but we can only do one action at a time. Let's create a solution with the reflex-agent AI approach Also keep in mind that this reflex agent could only perceive its room and if it is clean or not. This means you can only use the information that the agent has. Nothing more.

A tailored Chatbot to reduce hallucinations and improve factuality.

SynthToT: Generate synthetic dataset for your training dataset through deliberate problem-solving et al S Yao, 2023.

Framework for configurable AI Agents

Halma Two-player Game, Design and Implement an AI Agent

Chat with Gemma, Llama2, Mistral and more. Automate content creation with custom assistants and AI agents.

This is a web application crawling Linkedin & Twitter data about a person and customizes an ice breaker with them.

Elia+ ?? An experimental, snappy, and keyboard-centric UI for interacting with AI agents and augmenting humans using AI! Chat about any thing with any agent. ?

Open source AI agent framework from Finalize AI.

A conversational AI currently used to respond to user input and commands and map them to acceptable outputs

AI Agents to be hosted on Bluesky uses Optimism for local restaurant bidding and payments.

Find some of our best GPT on the Chat GPT Store. Allow youself to try out the Best AI made by Thaumaturgy AI.

Here we will track the latest AI Multimodal Models, including Multimodal Foundation Models, LLM, Agent, Audio, Image, Video, Music and 3D content. ??

This project was completed on October 15, 2015. It's a software package that consists of a set of AI agents for RPSLW (a stochastic game). One of the agents was implemented, so that it could learn how to play against different types of players on its own using Reinforcement Learning (specifically, using model-free type of RL - Q learning). To l…

An open-source agentic workflow by Andrew Ng for machine translation, using LLM-equipped AI agents: Prompting LLM agents to translate from one language to another and refine it

It is a map to large language model. M for multi chat, A for analyze image, P for Probe database.

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.