Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

There's always a local model that can replace your AI subscription ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Open-source Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. AutoGPT - AutoGPT is the vision of the power of AI accessible to everyone, to use and to ...

Building autonomous AI agents has, until recently, felt like assembling a fragile house of cards. You stitch together Python libraries, wrestle with dependency conflicts, and cross your fingers that ...

Quick Summary Looking to streamline, scale, and govern AI workflows across your organisation? Explore the top 7 AI orchestration tools for enterprises in 2026 that help coordinate models, automate ...

Citizen development is shifting from LCNC tiles to chat-first building. Many “citizen developers” are moving away from low-code/no-code interfaces and using general-purpose AI chatbots to produce ...

[This repository accomponanies the Trace paper. It is a fully functional implementation of the platform for generative optimization described in the paper, and contains code necessary to reproduce the ...