AI Engineering Pitfalls with Chip Huyen - 715

Today, we're joined by Chip Huyen, independent researcher and writer to discuss her new book, “AI Engineering.” We dig into the definition of AI engineering, its key differences from traditional machine learning engineering, the common pitfalls encountered in engineering AI systems, and strategies to overcome them. We also explore how Chip defines AI agents, their current limitations and capabilities, and the critical role of effective planning and tool utilization in these systems. Additionally, Chip shares insights on the importance of evaluation in AI systems, highlighting the need for systematic processes, human oversight, and rigorous metrics and benchmarks. Finally, we touch on the impact of open-source models, the potential of synthetic data, and Chip’s predictions for the year ahead. 🎧 / 🎥 Listen or watch the full episode on our page: https://twimlai.com/go/715. 🔔 Subscribe to our channel for more great content just like this: https://youtube.com/twimlai?sub_confirmation=1 🗣️ CONNECT WITH US! =============================== Subscribe to the TWIML AI Podcast: https://twimlai.com/podcast/twimlai/ Follow us on Twitter: https://twitter.com/twimlai Follow us on LinkedIn: https://www.linkedin.com/company/twimlai/ Join our Slack Community: https://twimlai.com/community/ Subscribe to our newsletter: https://twimlai.com/newsletter/ Want to get in touch? Send us a message: https://twimlai.com/contact/ 📖 CHAPTERS =============================== 00:00 - Introduction 3:30 - Key problems 6:29 - AI's impact on communication 13:39 - AI engineering book 16:56 - AI engineering vs ML engineering 18:38 - Agents 24:16 - Non-peer-reviewed research on tool use 27:04 - Agents vs. LLMs and tools 30:36 - Common pitfalls in AI engineering 37:42 - Coding 43:26 - Evaluation 46:20 - LLM systems and agentic systems 48:46 - Open source models 50:37 - Synthetic data 52:39 - Predictions for the year 🔗 LINKS & RESOURCES =============================== AI Engineering Book - https://www.oreilly.com/library/view/ai-engineering/9781098166298/?irclickid=X8YXvtUm0xyKTWiz-QQYy0iuUks0B93mUR80SA0&irgwc=1&utm_medium=affiliate&utm_source=impact&utm_campaign=new%20release&utm_content=book%20ai%20engineering%2020240910 Stanford Webinar - How AI is Changing Coding and Education, Andrew Ng & Mehran Sahami - https://www.youtube.com/watch?v=J91_npj0Nfw Software 2.0 - https://karpathy.medium.com/software-2-0-a64152b37c35 📸 Camera: https://amzn.to/3TQ3zsg 🎙️Microphone: https://amzn.to/3t5zXeV 🚦Lights: https://amzn.to/3TQlX49 🎛️ Audio Interface: https://amzn.to/3TVFAIq 🎚️ Stream Deck: https://amzn.to/3zzm7F5