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uptrain
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
b. Task Dependent: Tonality match with the given persona, creativity, interestingness, etc. Your prompt can play a big role here
3. Evaluating Reasoning Capabilities: Includes dimensions like logical correctness (right conclusions), logical robustness (consistent with minor input changes), logical efficiency (shortest solution path), and common sense understanding (grasping common concepts). One can’t do much beyond prompting techniques like CoT and primarily depends upon the LLM chosen.
4. Custom Evaluations: Many applications require customized metrics tailored to their specific needs. You want adherence to custom guidelines, check for certain keywords, etc.
You can read the full blog here (https://uptrain.ai/blog/how-to-evaluate-your-llm-applications). Hope you find it useful. I am one of the developer of UpTrain - it is an open-source package to evaluate LLM applications (https://github.com/uptrain-ai/uptrain).
Would love to get feedback from the HN community.
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