[The Decoder](https://the-decoder.com)
The AllSpark team has released Iris-mini and Iris-pro, two open-source search agents built on Qwen models that lead benchmarks among open-[weight](/glossary/weight) models in their size classes. According to the paper, the [training](/glossary/training) data and models also improved performance on tasks they were never trained for, including general [tool use](/glossary/tool-use) and office work.
The article Iris-mini and Iris-pro are the strongest open-weight search agents in their class appeared first on The Decoder.
Get AI news in your inbox
Daily digest of what matters in AI.
Key Terms Explained #
Decoder The part of a neural network that generates output from an internal representation.
Tool Use The ability of AI models to interact with external tools and systems — browsing the web, running code, querying APIs, reading files.
Training The process of teaching an AI model by exposing it to data and adjusting its parameters to minimize errors.
Weight A numerical value in a neural network that determines the strength of the connection between neurons.
source & further reading
machinebrief.com — original article
Elevenlabs makes Music v2.5 available via app and API with free and pro tier options
AI's most powerful CEOs hit the brakes
Xi says China will take lead to foster AI, tech cooperation among BRICS countries