We just published a blog on how we built the Gemini API skill. LLMs have fixed knowledge cutoffs, so we need to teach them about our newest models and how to use the SDK. In our evaluations, it helped Gemini 3.1 Pro pass 95% of 117 eval tests. Skills and Blog below
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Philipp Schmid shares a new blog post on building Gemini API skills to help models stay updated and improve performance, achieving 95% success on evaluation tests.
Summary
This tweet highlights a technical approach to addressing LLM knowledge cutoffs by developing 'skills' for the Gemini API. By teaching the model about the latest SDKs and model capabilities, the team improved Gemini 3.1 Pro's performance, achieving a 95% pass rate on 117 evaluation tests. This offers a practical solution for developers working with LLMs to enhance model utility.
AI Score
88
Influence Score 19
Published At Today
Language
English
Tags
Gemini
GoogleDeepMind
LLM
AgentSkills
DeveloperExperience