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 ...

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 ...

With new updates in the search world stacking up in 2026, content teams are trying a new strategy to rank: LLM pages. They’re building pages that no human will ever see: markdown files, stripped-down ...

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 ...

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 ...

A comprehensive repository demonstrating various fine-tuning approaches for OpenAI's Large Language Models, including supervised fine-tuning, vision fine-tuning, and preference-based tuning ...

Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training loops locally while the platform executes them on managed distributed GPU clusters. The pitch is ...

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 ...