TechCrunch was proud to host TELUS Digital at Disrupt 2024 in San Francisco. Here’s an overview of their Roundtable session. Large language models (LLMs) have revolutionized AI, but their success ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
ByteDance's Doubao AI team has open-sourced COMET, a Mixture of Experts (MoE) optimization framework that improves large language model (LLM) training efficiency while reducing costs. Already ...
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 ...
On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...
Quantum Corporation's stock has significant upside potential due to its innovative data management solutions, aiding GenAI firms in reducing training costs and time for LLMs. Quantum's diverse product ...
30-person startup Arcee AI has released a 400B model called Trinity, which it says is one of the biggest open source foundation models from a US company.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results