MiniMax, an AI firm based in Shanghai, has released an open source reasoning model that challenges Chinese rival DeepSeek and US-based Anthropic, OpenAI, and Google in terms of performance and cost.… ...

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls. The ...

The release of Deepseek v3.1 signifies a major advancement in the realm of large language models (LLMs). This open source AI model, licensed under MIT, introduces a powerful 700GB mixture of experts ...

SAN FRANCISCO & ZURICH--(BUSINESS WIRE)-- Check Point Software Technologies Ltd. (CHKP), a pioneer and global leader of cyber security solutions, and Lakera, a world leading AI-native security ...

Qwen 2.5 Coder/Max is currently the top open-source model for coding, with the highest HumanEval (~70–72%), LiveCodeBench (70.7), and Elo (2056) scores among open models. DeepSeek V3/Coder V2 remains ...

Despite widespread adoption of large language models across enterprises, companies building LLM applications still lack the right tools to meet complex cognitive and infrastructure needs, often ...

The UK AI Security Institute (AISI) has partnered with the commercial security sector on a new open source framework designed to help large language model (LLM) developers improve security posture.

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 ...

Over the last few years, companies like Redis, Elastic, MongoDB, and HashiCorp have abandoned their open-source license roots and switched to proprietary models. However, there is one significant ...

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 ...

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 ...