InfoWorld

Is creating an in-house LLM right for your organization?

Business leaders have been under pressure to find the best way to incorporate generative AI into their strategies to yield the best results for their organization and stakeholders. According to ...
Hosted on MSN

9 reasons why you should consider onsite LLM training and inferencing

Onsite LLM training and inferencing go a long way to mitigating that risk. Using your own infrastructure to host an LLM doesn’t eliminate every vulnerability, but it does allow you to treat your IP ...
Business Wire

TensorOpera and Aethir Team Up to Advance Massive-Scale LLM Training on Decentralized Cloud

PALO ALTO, Calif.--(BUSINESS WIRE)--TensorOpera, the company providing “Your Generative AI Platform at Scale,” has partnered with Aethir, a distributed cloud infrastructure provider, to accelerate its ...
VentureBeat

ServiceNow open sources Fast-LLM in a bid to help enterprises train AI models 20% quicker

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 Training a large language model (LLM) is ...
InfoWorld

Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...
VentureBeat

Nvidia, Intel claim new LLM training speed records in new MLPerf 3.1 benchmark

Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...