A recent paper published in the journal Engineering delves into the future of artificial intelligence (AI) beyond large language models (LLMs). LLMs have made remarkable progress in multimodal tasks, ...

Adoption trends signal accelerating open-source growth as enterprises rethink long-term AI infrastructure strategy ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

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 ...

Enterprise deployment of Generative AI depends on the seamless optimisation of hardware and software, driving higher performance at lower cost.

When the GenAI hype was just picking up steam, I wrote about the danger of drowning in LLM-produced blah if we failed to utilize the expertise of human linguists. It gives me no pleasure to say I was ...

Plume Design, the global technology platform trusted by more than 450 Internet Service Providers (ISPs) across 58 countries, has announced a major evolution of ...