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.

Nvidia quietly unveiled its new AI Foundry service on Tuesday, aiming to help businesses create and deploy custom large language models tailored to their specific needs. The move signals Nvidia's push ...

Accenture Plc Tuesday announced the launch of the Accenture AI Refinery framework, developed on Nvidia Corp.’s new AI Foundry service. The offering, designed to enable clients to build custom large ...

Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...

OpenAI is expanding a program, Custom Model, to help enterprise customers develop tailored generative AI models using its technology for specific use cases, domains and applications. Custom Model ...

Artificial intelligence company Cohere unveiled significant updates to its fine-tuning service on Thursday, aiming to accelerate enterprise adoption of large language models. The enhancements support ...

Orange is working with OpenAI and Meta to build custom AI models that can understand West African languages not understood by most conversational systems. To start with, the telco giant will roll out ...

A flurry of new artificial intelligence models this week illustrated what’s coming next in AI: smaller language models targeted at vertical industries and functions. Both Nvidia and Microsoft debuted ...

Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...