MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, ...
VentureBeat

Uh-oh! Fine-tuning LLMs compromises their safety, study finds

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As the rapid evolution of large language models (LLM) continues, ...
Microsoft

A one-prompt attack that breaks LLM safety alignment

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 ...
Geeky Gadgets

Unlock the Full Power of DeepSeek R1 by Fine-Tuning Its Reasoning Tasks

Fine-tuning a large language model (LLM) like DeepSeek R1 for reasoning tasks can significantly enhance its ability to address domain-specific challenges. DeepSeek R1, an open source alternative to ...
TechCrunch

Instead of fine-tuning an LLM as a first approach, try prompt architecting instead

Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information ...
InfoWorld

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

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
Geeky Gadgets

Easily Fine-Tune AI Models Like a Pro with Google Tunix

Have you ever wondered how to transform a general-purpose language model into a finely tuned expert tailored to your specific needs? The process might sound daunting, but with the right tools, it ...
Semiconductor Engineering

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.