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.
• A beginner's guide to understanding Hugging Face Transformers, a library that provides access to thousands of pre-trained transformer models for natural language processing, computer vision, and more.
• The guide covers the basics of Hugging Face Transformers, including what it is, how it works, and how to use it with a simple example of running Microsoft's Phi-2 LLM in a notebook
• The guide is designed for non-technical individuals who want to understand open-source machine learning without prior knowledge of Python or machine learning.
• The guide covers the basics of Hugging Face Transformers, including what it is, how it works, and how to use it with a simple example of running Microsoft's Phi-2 LLM in a notebook
• The guide is designed for non-technical individuals who want to understand open-source machine learning without prior knowledge of Python or machine learning.
