Enabling startups to innovate with AI | Jason Liu (Independent Consultant)
Description
In this episode of Building With AI, host Haroon Choudery is joined by Jason Liu, a seasoned AI operator and consultant who advises seed-stage start-ups on tech strategy, research, and infrastructure.
With several years of experience in machine learning, Jason has gained recognition for creating AI-specific dev tooling and contributing to several open-source projects.
During the conversation, they discuss:
- General applications vs. AI applications,
- How developers should work with LLMs,
- What LLMOps companies need to focus on,
- Why saying 'no' can improve your AI's success rate,
- Building agile AI systems,
- Best practices for RAG systems,
- And much more!
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[00:00 ] Up next: Jason Liu
[00:25 ] Episode Introduction
[01:12 ] Autoblocks: AI Optimization Platform
[02:07 ] Jason's introduction
[03:44 ] General applications vs. AI applications
[05:08 ] The two categories of dev tools
[06:43 ] The AI landscape for non-technical users
[08:47 ] The one skill developers need
[09:57 ] The eval puzzle
[11:52 ] What LLMOps companies need to focus on
[16:26 ] Why saying 'no' can improve your AI's success rate
[18:15 ] How can you build an agile AI system?
[21:41 ] Strategies for building products that stick
[24:29 ] Similarities between RAG and recommendation frameworks
[26:03 ] Best practices for RAG systems
[28:27 ] The importance of short-term metrics
[29:30 ] Data strategies for effective RAG systems
[35:22 ] Jason's hottest take on AI
[36:22 ] Jason's future projects
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Brought to you by Autoblocks (https://www.autoblocks.ai) — how product teams deliver better AI experiences.
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