Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and first reasoning dLLM. Mercury 2 ...

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Earlier this week Anthropic surprise the AI community by releasing three new AI models making up the Claude 3 family. The three different-sized models: Haiku, Sonnet, and Opus are vision language ...

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 ...

But thanks to a few innovative and easy-to-use desktop apps, LM Studio and GPT4All, you can bypass both these drawbacks. With the apps, you can run various LLM models on your computer directly. I’ve ...

Obsidian is already great, but my local LLM makes it better ...

The all-conquering rise of AI in the enterprise has seen much use of large language models (LLMs). This week at InfoWorld, we wrote about LiteLLM: an open-source gateway for unified LLM access that ...

Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.