A popular and actively maintained open-source web crawling library for LLMs and data extraction, offering advanced features like structured data extraction, browser control, and markdown generation.
A consortium of Cisco, Galileo, and LangChain proposes an open, scalable way to connect and coordinate AI across different frameworks, vendors, and infrastructure to manage the rapid evolution of AI agents.
Minimalist LLM Framework in 100 Lines. Enable LLMs to Program Themselves.
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.
The article discusses how open-source Large Language Models (LLMs) are helping security teams to better detect and mitigate evolving cyber threats.
IBM showcased their big bet on open-source AI at their Think conference. They open-sourced a family of IBM Granite models, released AI assistants, expanded their AI ecosystem, and are making a push to monetize and deploy AI for businesses.
Elia is a new open-source application designed for users who need an efficient, terminal-based way to interact with large language models (LLMs). The application allows users to chat with various models directly from their terminal and supports popular models like ChatGPT and Llama 3. Elia is highly keyboard-centric, stores conversations in a local SQLite database, and offers a simple setup via pipx.
Learn how to create a low-cost, AI-powered personal assistant using Raspberry Pi and open-source software. The assistant can answer questions, play music, and control smart home devices.
Explore the 14 top open-source Large Language Models (LLMs) available for research and commercial use. These open-source models provide transparency, no vendor lock-in, and total control over customization. This article provides detailed information about each model including parameters, license, and usage.
Verba is an open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. It supports various RAG techniques, data types, LLM providers, and offers Docker support and a fully-customizable frontend.
