Instruction tuning adapts a pretrained model using examples that pair an instruction with an appropriate response. The training set may cover summarization, question answering, extraction, writing, refusal behavior, and many other tasks, helping the model respond more reliably to natural-language requests. Unlike learning one narrow capability, a diverse instruction collection aims to improve general task following. Quality matters more than simple volume because contradictory, unsafe, or poorly written examples can teach undesirable patterns. Evaluation should test unfamiliar instructions, factuality, formatting, and safety boundaries. Instruction tuning is often combined with preference training or other alignment methods, but it cannot guarantee that every future request will be understood correctly.
OpenAI has introduced Sora 2, a next-generation video AI model with synchronized audio, improved physics, and tighter control, alongside a companion social app.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
OpenAI’s next version of its Sora video generator will default to including copyrighted content unless owners explicitly opt out – drawing criticism from media creators.
OpenAI introduces ChatGPT Pulse, a proactive feature delivering daily updates and suggestions directly in the app, positioning it as a potential challenger to social media feeds.
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.