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Mercury 2 For Search
- Source
- inceptionlabs.ai
- Author
- Inception
- Date
Context
Mercury 2 targets the waiting time that accumulates inside a search assistant. Rewriting queries, ranking retrieved passages and composing an answer can each require another model call. Inception says its diffusion model refines a span of text in parallel over successive passes, reducing delay at each step. In its 100-question FRAMES test, the company reports 10.8 seconds per query. Faster intermediate calls could leave room for more search work within a response-time budget; the company's tests also show that speed and answer completeness remain separate considerations.
Terms in this piece · Glossary
- LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
- agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
Read the source www.inceptionlabs.ai
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