Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
This article details the approach used to fine-tune a 350 million parameter model to generate better structured outputs efficiently.
This article details the approach used to fine-tune a 350 million parameter model to generate better structured outputs efficiently.
The Real World AI stage at TechCrunch Disrupt 2026 will showcase the convergence of digital and physical technology, including Nvidia and robots.
Amazon Bedrock now offers Australian teams access to OpenAI GPT-5.6 Sol, Terra, and Luna models with global cross-Region inference from the Sydney and Melbourne Regions.
OpenAI's Astra model introduces "recurrent depth," a reasoning technique that departs from sequential thinking, prompting concern from AI safety experts.
Google released Gemini 3.8 Flash weeks after 3.7 Flash, claiming it 'works harder' with more reasoning and iterative tool calls, though higher token use could raise costs.
AWS describes building a generative AI support operations platform that converts training videos into structured SOPs, applies RAG to guide ticket resolution, and predicts SLA risk to prioritize work.
AWS describes how a global interdealer broker used Amazon Bedrock AgentCore to automate architecture documentation, analyzing .NET code bases and generating searchable diagrams.
University Startups and AWS partner g/d/n/a built Trinity, a serverless multi-agent AI on Amazon Bedrock that creates IDEA-aligned transition plans for students with disabilities.
Google has launched the Fairwind Program, providing cyber defense tools to governments and trusted partners seeking proactive security measures.
ATV Big Air Tour reports using ChatGPT Work to speed up marketing and merchandising, including converting merchandise photos into an inventory website in 15 minutes.
Anthropic released Fable 5.1 and Mythos 5.1, saying the new models cost less—up to 45 percent cheaper for complex agentic tasks—while improving performance and addressing customer concerns.
The article discusses the metrics used in LLM benchmarks and what they truly assess in language models.