Learn how to evaluate and score results from GPT-like systems

To enhance response accuracy and mitigate hallucinations, with simple tools. Register here .

Recording and GitHub material will be available to registrants who cannot attend the live, 60-min session.

Summary

Join us for a cutting-edge webinar showcasing the synergy between UpTrain's open-source LLM evaluation tool and SingleStoreDB's real-time data infrastructure. Through a live demo and code-share session, witness how effortlessly you can score, analyze, and optimize LLM applications, turning raw data into actionable insights in real-time.

Learn how top-tier companies, backed by renowned investors like Andreessen Horowitz, Khosla, and YCombinator, are already harnessing the power of UpTrain to evaluate over 1 million LLM responses. Explore the customization capabilities of UpTrain and how, with just a single line of code, you can unleash unparalleled evaluation power tailored to your specific use-case.

What You’ll Learn:

• How to efficiently iterate and optimize LLM applications through robust experimentation enabled by UpTrain.
• The significance of real-time data infrastructure provided by SingleStoreDB in driving rapid analysis from LLM scoring.
• Techniques for mitigating LLM hallucinations and enhancing response accuracy with the aid of UpTrain's evaluation tool.
• Best practices for integrating UpTrain and SingleStoreDB to achieve real-time evaluation and optimization of LLM apps.

Speakers:

• Sourabh Agrawal, Co-Founder and CEO at Uptrain AI
• Madhukar Kumar, Chief Developer Evangelist at SingleStoreDB
• Alexander Peng, Growth Engineer at SingleStoreDB

Register here .