Treating Prompt Engineering More Like Code // Maxime Beauchemin // #167 episode artwork

EPISODE · Jul 25, 2023 · 1H 14M

Treating Prompt Engineering More Like Code // Maxime Beauchemin // #167

from MLOps.community · host Demetrios

MLOps Coffee Sessions #167 with Maxime Beauchemin, Treating Prompt Engineering More Like Code.// AbstractPromptimize is an innovative tool designed to scientifically evaluate the effectiveness of prompts. Discover the advantages of open-sourcing the tool and its relevance, drawing parallels with test suites in software engineering. Uncover the increasing interest in this domain and the necessity for transparent interactions with language models. Delve into the world of prompt optimization, deterministic evaluation, and the unique challenges in AI prompt engineering. // BioMaxime Beauchemin is the founder and CEO of Preset, a Series B startup supporting and commercializing the Apache Superset project. Max was the original creator of Apache Airflow and Apache Superset when he was at Airbnb. Max has over a decade of experience in data engineering at companies like Lyft, Airbnb, Facebook, and Ubisoft.// MLOps Jobs board jobs.mlops.community// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related LinksMax's first MLOps Podcast episode: https://go.mlops.community/KBnOgNTest-Driven Prompt Engineering for LLMs with Promptimize blog: https://maximebeauchemin.medium.com/mastering-ai-powered-product-development-introducing-promptimize-for-test-driven-prompt-bffbbca91535https://maximebeauchemin.medium.com/mastering-ai-powered-product-development-Test-Driven Prompt Engineering for LLMs with Promptimize podcast: https://talkpython.fm/episodes/show/417/test-driven-prompt-engineering-for-llms-with-promptimizeTaming AI Product Development Through Test-driven Prompt Engineering // Maxime Beauchemin // LLMs in Production Conference lightning talk: https://home.mlops.community/home/videos/taming-ai-product-development-through-test-driven-prompt-engineering--------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Max on LinkedIn: https://www.linkedin.com/in/maximebeauchemin/Timestamps:[00:00] Max introduces the Apache Superset project at Preset[01:04] Max's preferred coffee[01:16] Airflow creator[01:45] Takeaways[03:53] Please like, share, and subscribe to our MLOps channels![04:31] Check Max's first MLOps Podcast episode[05:20] Promptimize[06:10] Interaction with API[08:27] Deterministic evaluation of SQL queries and AI[12:40] Figuring out the right edge cases[14:17] Reaction with Vector Database[15:55] Promptomize Test Suite[18:48] Promptimize vision[20:47] The open-source blood[23:04] Impact of open source[23:18] Dangers of open source[25:25] AI-Language Models Revolution[27:36] Test-driven design[29:46] Prompt tracking[33:41] Building Test Suites as Assets[36:49] Adding new prompt cases to new capabilities[39:32] Monitoring speed and cost[44:07] Creating own benchmarks[46:19] AI feature adding more value to the end users[49:39] Perceived value of the feature[50:53] LLMs costs[52:15] Specialized model versus Generalized model[56:58] Fine-tuning LLMs use cases[1:02:30] Classic Engineer's Dilemma[1:03:46] Build exciting tech that's available[1:05:02] Catastrophic forgetting[1:10:28] Prompt-driven development[1:13:23] Wrap up

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Treating Prompt Engineering More Like Code // Maxime Beauchemin // #167

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