Anatoly Tsyplenkov<p>I have recently been enjoying using Gemini 2.5 Pro in Google AI Studio instead of Stack Exchange :omya_google: . The large context window (1M tokens) and the ability to set the temperature to 0, meaning NO CREATIVITY, make this LLM a very good tool for RAG when communicating with your own materials. For example, I recently had a small question about the applicability of a ridge regression model that I trained in <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="tag">#<span>RStats</span></a> using the <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> framework some years ago.</p>