NexLAB: Next-Generation Experiments and Learning for Advanced Biotech

aider is AI pair programming in your terminal

A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions

A Self-adaptation Framework🐙 that adapts LLMs for unseen tasks in real-time!

VectorDBBench is a benchmark designed to compare the performance and cost-effectiveness of popular vector databases.

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

Free AI-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized Python AI for Business tutorials every week. Sign up here:

Colivara is a suite of services that allows you to store, search, and retrieve documents based on their visual embedding. ColiVara has state of the art retrieval performance on both text and visual…

A pre-built agent for TableGPT2.

ScoutSense - Recruit revolutionizes the recruitment process by combining smart candidate evaluation with automated interview preparation. Essential for recruiters, hiring managers, and HR professio…

Resources for our paper: "Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training"

The LLM Evaluation Framework

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AI Travel Agent

This repository has been created to keep track of my 5 days progress.

Dynamiq is an orchestration framework for agentic AI and LLM applications

Coomunityworkshops

This Streamlit application allows users to evaluate their answers to a series of pre-defined questions using LLM - Gemini 1.5 Pro. The app provides immediate feedback on the correctness and quality…

ai_in_chemistry_workshop

D3S - Discriminative Single Shot Segmentation Tracker (CVPR 2020)

A collection of guides and examples for the Gemma open models from Google.

This project demonstrates how to utilize Codellama, a local open-source Large Language Model (LLM), and customize its behavior according to your specific requirements using a Modelfile.

This repository contains a project that focuses on evaluating the performance of different Language Models (LLMs) for multi-class news classification. The project aims to assess how well LLMs can c…

Demo done in a jupyter notebook to show how Retrieval Augmented Generation (RAG) can be done without using any frameworks.