The OWASP Top 10 for LLM Applications is the most widely referenced framework for understanding these risks. First released in 2023, OWASP updated the list in late 2024 to reflect real-world incidents ...

Microsoft used Nvidia's GTC conference this week to roll out a series of enterprise AI announcements spanning agent infrastructure, real-time voice interactions and next-generation GPU deployments.

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

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 ...

Orchestrate an end-to-end LLM fine-tuning workflow that ingests Goodreads book data, engineers genre features, creates training files, submits fine-tuning jobs to OpenAI, and validates the resulting ...

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...

Abstract: Large Language Models (LLMs) show promise for recommendation but frequent fine-tuning on ever-growing data is costly. We study data-efficient fine-tuning and propose a task-specific pruning ...

For this week’s Ask An SEO, a reader asked: “Is there any difference between how AI systems handle JavaScript-rendered or interactively hidden content compared to traditional Google indexing? What ...

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability. San Francisco-based Thinking Machines was founded in February by Mira Murati ...