Enabling startups to innovate with AI | Jason Liu (Independent Consultant)

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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Subscribe to Building With AI:

• Website: https://www.bwai.autoblocks.ai
• X: https://x.com/bwaipodcast

Where to find Jason Liu:

• Linkedln: https://www.linkedin.com/in/jxnlco/
• X: https://twitter.com/jxnlco

Where to find Haroon Choudery: 

• Linkedln: https://www.linkedin.com/in/haroonchoudery/
• X: https://x.com/haroonchoudery

Learn more about Autoblocks: 

• Website: https://www.autoblocks.ai/
• X: https://twitter.com/AutoblocksAI