devtools.fm: Developer Tools, Open Source, Software Development

Jason Liu - Instructor, Shipping LLMs to Production

Jun 10, 2024

Machine learning expert Jason Liu discusses working with LLMs, shipping them to production, making them accessible. Talks about future of prompt engineering, building better prompts, AI industry evolution, prompt engineering nuances, on-device models, model training advancements, maximizing value with AI products, V0 .dev tool tip, voice coding tools, text effects CLI library, Chidori framework, Dagger integration, One Sec app for productivity

01:04:05

Creator website

Episode guests

Jason Liu

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Podcast summary created with Snipd AI

Quick takeaways

Shipping LLMs to production requires making them accessible to all users for successful AI product deployment.

The evolution of AI emphasizes the shift to text modalities, blending traditional approaches with emerging paradigms.

Balancing model performance, user expectations, and business value is crucial in AI engineering for efficient system utilization.

Deep dives

The Importance of AI Products in Usability and Dependency

Creating a successful AI product hinges on its usability and dependency for users. A great AI product makes users anxious when it's not available, focusing on enhancing user experiences rather than replacing human tasks. Users prefer products that minimize errors, indicating a blunder minimization approach. Ensuring that AI tools augment decision-making processes and improve efficiencies is crucial in product development.

Quality over Quantity in Selling

02:15

Balancing knowledge and correctness in language models

01:47

Challenges of Improving Systems Post-Production

01:18

Intro

3min

AI Engineering and Prompt Engineering in Large Language Models

7min

Exploring Grok's Speed and the Future of On-Device Models

4min

Advancements in Model Training and Hardware Efficiency

12min

Maximizing Value with AI Products

26min

Introducing V0 .dev Tool Tip and LLM Client TypeScript Library

4min

Discussion on Voice Coding Tools and Navigating Code Bases

4min

Text Effects CLI Library and Chidori Framework for Agent Flows

3min

Discussion on LLMs, Dagger, and the One Sec app for productivity

2min

This week we sit down with Jason Liu, a machine learning expert and the author of the Instructor. We talk about what working with LLMs is like, how to ship them to production, and how to make them more accessible to everyone. We also talk about the future of prompt engineering and how to make it easier to build better prompts.

Episode sponsored By Clerk (https://clerk.com)

Become a paid subscriber our patreon, spotify, or apple podcasts for the full episode.

Andrew

http://v0.dev

https://github.com/ChrisBuilds/terminaltexteffects

Justin

https://github.com/ThousandBirdsInc/chidori

https://www.cursorless.org/

Jason

https://betterdictation.com (code JASON20)

https://cursor.ai

https://one-sec.app/

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devtools.fm: Developer Tools, Open Source, Software Development

Jason Liu - Instructor, Shipping LLMs to Production

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

The Importance of AI Products in Usability and Dependency

Evolution of AI Modalities and Industry Shifts

Challenges in AI Engineering and Fine-Tuning Models

Focus on Specific Product for Improvement and Customer Satisfaction

Structured Outputs for Model Safety and Correctness

Quality over Quantity in Selling

Balancing knowledge and correctness in language models

Challenges of Improving Systems Post-Production

Remember Everything You Learn from Podcasts