49 summarised stories about Fine-tuning, each linking back to the original source. Browse all topics →
MarkTechPost 1 month ago 11
The tutorial builds an end-to-end preference-learning workflow that fine-tunes a language model with Direct Preference Optimization (DPO) on the Anthropic HH-RLHF dataset while auditing for structural and length-based preference biases and testing for lexical shortcut signals.
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TLDRocket
15 October 2026
OpenAI’s DevDay set the tone for how AI products are tightening around cost, computation, and agents—while legal pressure keeps reminding everyone that capability doesn’t ship in a vacuum. The headline was GPT-6.1 Sol and its Dots autonomous agent, positioned for higher tool-call volume and longer internal runs. Pricing is blunt: $2 per million input tokens and $10 per million output tokens, pitched as roughly one-fifth the per-task cost of GPT-6 Astra. The catch is availability and scope—Dots is rolling out only to specific ChatGPT plans, while the overall direction is clear: more work moved from chat into orchestration, where agents do the scheduling, retrieval, and stepwise execution.
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