ETH Zurich and EPFL’s open-weight LLM offers a transparent alternative to black-box AI built on green compute and set for public release. Large language models (LLMs), which are neural networks that ...
I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.
Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...
In January, assumptions around AI were shaken up by DeepSeek, a small Chinese company that nobody had heard of. This week it was Switzerland’s turn to stir things up. Apertus (Latin for ‘open’) is a ...
Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow. The proliferation of large ...
Not to be confused with Chinese AI lab Moonshot's recently released, powerful, open source model Kimi K2, another new open source large language model (LLM) called "K2 Think" debuted today, and it's ...
I’ve been writing about the democratic future of large language models (LLMs). Will this tech turn out to be an inherently centralized, authoritarian technology like nuclear power, or a more ...
XDA Developers on MSN
Docker Model Runner makes running local LLMs easier than setting up a Minecraft server
On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...
There's a new player in the AI race, and it's a whole country. Switzerland has just released Apertus, its open-source national Large Language Model (LLM) that it hopes would be an alternative to ...
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...
The b3 is built around a new idea called threat snapshots. Instead of simulating an entire AI agent from start to finish, threat snapshots zoom in on the critical points where vulnerabilities in large ...
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