LLMOps: Test-Driven Development for Large Language Model Applications

By the Bay is a community of seven open-source meetups founded and organized by Dr. Alexy Khrabrov,chiefscientist.org.

By the Bay

A more principled way to develop LLM applications with test-driven development

500 Treat Ave

Thank you to our host Pulze.ai!Co-founder and CEO Fabian Baier will introduce Pulze.ai.Thank you to our sponsor Airbyte for food, drinks, and recording support!Sponsor introduction by Michel Tricot, Airbyte CEO.Josh Tobin is the founder and CEO of Gantry. Previously, Josh worked as a deep learning &amp; robotics researcher at OpenAI and as a management consultant at McKinsey. He is also the creator of Full Stack Deep Learning (fullstackdeeplearning.com), the first course focused on the emerging engineering discipline of production machine learning and LLM applications. Josh did his PhD in Computer Science at UC Berkeley advised by Pieter Abbeel.Large language models are a powerful primitive for building applications quickly and easily. However, when it comes to robustness, reliability, and production readiness, they leave something to be desired.If you&#x27;ve built applications with LLMs, you may have wondered, &quot;isn&#x27;t it a bit generous to call this prompt engineering?&quot;, &quot;how do I know if this thing is actually working&quot;, or &quot;is it even possible to test these things&quot;?In this talk, we will present a more principled way to develop LLM applications using an approach that is analogous to test-driven development. We&#x27;ll also show you how to get started with this approach in minutes using Gantry.

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LLMOps: Test-Driven Development for Large Language Model Applications

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