MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
Stack Agentic Computing Platform Into a Secure and Scalable Thinking Machine. Remote-First-Company \| VAST Forward \| SALT ...
Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...
The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...
Age VoicE, by Master of Information and Data Science alums Emma Choate, Vinith Kuruppu, and David Russell, aims to serve an ...
ChatGPT’s transformer model vs Atomesus AI’s hybrid architecture: a technical comparison for enterprise AI use.
How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...
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