Thanks for the q. The LSR version of AutoFeedback is on our Pro tier. You can sign up for more info on that here: https://tally.so/r/w2XVQA https://tally.so/r/

Thanks for the q. The LSR version of AutoFeedback is on our Pro tier. You can sign up for more info on that here: https://tally.so/r/w2XVQA https://tally.so/r/w2XVQA In the free trial of Log10.io you can use the ICL (self-improving) version of AutoFeedback for hallucination detection and RAG evals. In generalize, you can customize evals for a wide range of use cases using AutoFeedback: https://docs.log10.io/feedback/auto_feedback https://docs.log10.io/feedback/auto_feedback https://github.com/log10-io/log10-cookbook/tree/main https://github.com/log10-io/log10-cookbook/tree/main https://arjunbansal.substack.com/p/hybrid-evaluation-scaling-human-feedback https://arjunbansal.substack.com/p/hybrid-evaluation-scaling... As for models, we support evaluating a wide range of models including Llama - in addition we support OpenAI, Anthropic, Gemini, Mistral, MosaicML, Together, and self-hosted models. We are also compatible with frameworks such as Langchain, Magentic and LiteLLM. For how to integrate different models please see here: https://github.com/log10-io/log10 https://github.com/log10-io/log10