Bun 1.3 revolutionizes full-stack JavaScript development with unified database APIs and zero-config frontend setup.
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
FunctionGemma is a 270M-parameter model for function calls that runs on phones and NPUs, helping teams cut cloud costs and ship faster.
Pro Audio Technology (PRO) has unveiled Version 2 (V2) updates for five of its most popular loudspeakers, introducing meaningful performance refinements aimed squarely at high-end private screening ...
A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...
Stanford has been a writer since 2017 working with Indian news outlet, Moneycontrol. Focusing on the automotive space, his content varies from reviews about the machines he loves to news about the ...
A new study shows that fine-tuning ChatGPT on even small amounts of bad data can make it unsafe, unreliable, and veer it wildly off-topic. Just 10% of wrong answers in training data begins to break ...
Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for ...
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