The article discusses four open-source AI research agents that serve as cost-effective alternatives to OpenAI’s Deep Research AI Agent. These alternatives offer robust search capabilities, AI-powered extraction, and reasoning features, allowing researchers to automate and optimize their workflows without incurring high costs.
This page provides information about LLooM, a tool that uses raw LLM logits to weave threads in a probabilistic way. It includes instructions on how to use LLooM with various environments, such as vLLM, llama.cpp, and OpenAI. The README also explains the parameters and configurations for LLooM.
Kresmo is an Arduino sketch that uses an OpenAI-compatible API to generate a random and brief pithy saying. The sketch uses the U8g2 library for displaying text on an OLED screen, and the WiFi library for connecting to the internet. The ESP32-C3-0.42 module combines all this hardware into one tiny board.
This Github Action allows you to easily integrate OpenAI API into your workflow. With just a few steps, you can use OpenAI's language model to generate responses for your project.
llama-cpp-python offers a web server which aims to act as a drop-in replacement for the OpenAI API. This allows you to use llama.cpp compatible models with any OpenAI compatible client (language libraries, services, etc).
