CSO OnlineOpinion

LLM-generated passwords are indefensible. Your codebase may already prove it

Stop letting AI pick your passwords. They follow predictable patterns instead of being truly random, making them easy for ...
IEEE

Data-efficient LLM Fine-tuning for Code Generation

Abstract: Large language models (LLMs) have demonstrated significant potential in code generation tasks. However, there remains a performance gap between open-source and closed-source models. To ...

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
Mid-Day

Sixteen and Counting: How Murthy Neelam Built the Most Comprehensive Research Portfolio in Modern Data Engineering

That is the number of major research articles that bear the name of Venkata Vijay Satyanarayana Murthy Neelam-the ...
Oregonian

Oregon attorney slapped with record fine after citing case law hallucinated by AI

Another Oregon attorney has been bamboozled by the incorrect output of artificial intelligence — and the state’s appellate court has slapped him with a record fine. The Oregon Court of Appeals issued ...
Engadget

Spotify’s new Taste Profile feature lets users fine-tune their algorithm’s recommendations

You're responsible for your own Spotify algorithm now. On stage at SXSW, Spotify's co-CEO, Gustav Söderström, announced the Taste Profile feature, which allows users to personally customize exactly ...
Tidbits

Reading Doesn’t Fill a Database, It Trains Your Internal LLM

I had an interesting conversation with my son Tristan the other day. Because he’s so engrossed in his PhD research in machine learning at Simon Fraser University, I often try to steer our discussions ...
IEEE

Privacy-Utility Trade-off in Federated LLM Fine-Tuning: A Dynamic Game Approach

Abstract: Fine-tuning large language models (LLMs) is critical for adapting pretrained models to specialized downstream tasks. Federated LLM fine-tuning enables privacy-aware model updates by allowing ...
VentureBeat

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

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the ...
Microsoft

A one-prompt attack that breaks LLM safety alignment

Large language models (LLMs) and diffusion models now power a wide range of applications, from document assistance to text-to-image generation, and users increasingly expect these systems to be safety ...