IBM Patents a Self-Tuning System for LLM RAG Pipeline Parameters
Getting an LLM to answer questions accurately over your own documents depends heavily on a tangle of configuration knobs — chunk size,…
The text machines: language models, summarizers, translators, and search that understands what you meant. Filings that show where written AI is headed.
Getting an LLM to answer questions accurately over your own documents depends heavily on a tangle of configuration knobs — chunk size,…
Adobe is patenting a way to let an AI take the subject matter from one photo and the visual style from another…
Every LLM has a context window — a hard cap on how much text it can read at once. Adobe's new patent…
Adobe is patenting a machine learning system that takes your images, text, and a target document size — and figures out where…
Before a generative AI model even tries to answer your question, it needs to know where to look. Adobe's new patent proposes…
Anyone who has ever pasted AI-generated copy into a design layout knows the pain: the text is always too long, too short,…
Running a large language model in production is expensive — every millisecond of inference latency and every wasted GPU cycle adds up…
When a developer ignores a code suggestion and just keeps typing, did they really reject it — or were they just faster…
Point your camera at a sign, a menu, or a screenshot — Google's latest patent describes an AI that doesn't just read…
Google's internal codebase is famously one of the largest in the world. Now Google has patented a system that could send a…
Writing rules for what an AI is allowed to generate is one thing — turning those rules into usable training data is…
When an AI generates a bio or summary about a real person, it pulls from data sources you may never have chosen…
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