Finetuning
Create Tailored Evaluation Metrics with Precision and Power
Create Tailored Evaluation Metrics with Precision and Power
Design flexible, multi-step pipelines using LLMs and Python scripts to measure performance with data-backed insights, not just intuition.
Design flexible, multi-step pipelines using LLMs and Python scripts to measure performance with data-backed insights, not just intuition.
Leverage Human Feedback for Accurate Metrics
Leverage Human Feedback for Accurate Metrics
Elevate your LLM evaluations by incorporating real-time human insights. Our platform enables you to gather granular feedback scores and text-based critiques, then seamlessly fine-tune metrics like hallucination detection. By leveraging minimal yet targeted examples, the LLM-as-a-judge approach refines accuracy in identifying content fidelity and relevance. This unique fusion of human intuition and model intelligence amplifies trustworthiness, ensuring each evaluation is as precise as it is transparent.
Elevate your LLM evaluations by incorporating real-time human insights. Our platform enables you to gather granular feedback scores and text-based critiques, then seamlessly fine-tune metrics like hallucination detection. By leveraging minimal yet targeted examples, the LLM-as-a-judge approach refines accuracy in identifying content fidelity and relevance. This unique fusion of human intuition and model intelligence amplifies trustworthiness, ensuring each evaluation is as precise as it is transparent.
Streamlined Few-Shot Calibration
Streamlined Few-Shot Calibration
Elevate your LLM evaluations by incorporating real-time human insights. Our platform enables you to gather granular feedback scores and text-based critiques, then seamlessly fine-tune metrics like hallucination detection. By leveraging minimal yet targeted examples, the LLM-as-a-judge approach refines accuracy in identifying content fidelity and relevance. This unique fusion of human intuition and model intelligence amplifies trustworthiness, ensuring each evaluation is as precise as it is transparent.
Elevate your LLM evaluations by incorporating real-time human insights. Our platform enables you to gather granular feedback scores and text-based critiques, then seamlessly fine-tune metrics like hallucination detection. By leveraging minimal yet targeted examples, the LLM-as-a-judge approach refines accuracy in identifying content fidelity and relevance. This unique fusion of human intuition and model intelligence amplifies trustworthiness, ensuring each evaluation is as precise as it is transparent.
We are Open Source! | 8.5k ⭐️
We are Open Source! | 8.5k ⭐️
Customize and deploy using our open source github repository
Customize and deploy using our open source github repository
We value transparency
We value transparency
Recommended Resources
RagaAI's Slack Community
RagaAI's Slack Community
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Join our Slack community for the most latest updates and support.
