Practical AI: Machine Learning, Data Science, LLM

Metrics Driven Development

Aug 29, 2024

42:14

Snipd AI

Shahul from Ragas, an open-source initiative focused on enhancing the evaluation of language model applications, offers insights into metrics-driven development. He discusses the challenges of measuring performance effectively and the importance of automating evaluations. The conversation highlights the distinction between evaluating LLMs and their applications and dives into the significance of synthetic data in optimizing model performance. Shahul also explores how advanced speech AI technology can provide actionable insights, driving innovation for developers.

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Episode notes

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Quick takeaways

RAGAS provides tools that automate evaluation processes for LLM applications, significantly reducing development effort and improving efficiency.

The podcast emphasizes the importance of adopting metrics-driven development to enhance performance evaluation and decision-making in LLM applications.

Deep dives

Introduction to RAGAS

RAGAS is an open-source library designed to help developers and engineers working with LLM (Large Language Model) applications evaluate their projects more effectively. The founders, Shahul and Jiten, identified a gap in the market while experimenting with LLMs and realized that the evaluation process was often tedious and time-consuming. To address this, RAGAS provides tools and workflows that automate various evaluation techniques, significantly reducing the effort required from developers. By streamlining this process, RAGAS aims to save time and resources, allowing developers to focus more on building applications rather than getting bogged down in manual evaluations.

Intro

5min

Evaluating LLMs versus Applications

12min

Harnessing Speech AI for Actionable Insights

7min

Evaluating Language Models: Metrics and Data Challenges

11min

Exploring Innovations in Synthetic Data and LLM Applications

7min

How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.

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Sponsors:

Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more.

Featuring:

Shahul Es – Twitter, GitHub, LinkedIn
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Ragas

Something missing or broken? PRs welcome!

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