Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...

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

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 ...

JavaScript has established itself as a programming language of choice for web applications, thanks in part to a sharp rise in popularity with the launch of native frameworks for building scalable ...

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 ...

A new technical paper titled “Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors” was published by researchers at IBM. “The use of Large Language Models (LLMs) in ...

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