AI Buzz and Beyond, Exploring AI Engineering with Chip Huyen

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In this episode of Unriveted, we welcome Chip Huyen's dive into all things artificial intelligence, joined by the stellar Chip Huyen, an AI aficionado, Stanford educator, and Amazon-bestselling author. Here’s the highlight reel:

1️⃣ AI 2025: Predicting the Unpredictable
 Chip reflects on how AI has advanced like a viral meme: fast, surprising, and sometimes incomprehensible. She shares optimism for use cases fueled by safer, post-trained models (bye-bye pre-training hype). Prediction? More “Agentic AI” taking charge, like giving Siri a caffeine shot to supercharge her decision-making.
2️⃣ Hallucination Nation
 Discussing AI's “creative” outputs, Chip says hallucinations aren’t always bad, perfect for storytelling but dicey for legal or medical advice. Pro tip: Fact-check your AI-generated haikus!
3️⃣ Synthetic Data to the Rescue
 Martin raves about using AI-generated data to balance datasets. Think of it as the ultimate diversity champion: synthesizing data to curb bias and ensure fair training.
4️⃣ Transformer Talk & Green Tech Dreams
 While Transformers dominate AI architecture, Chip warns they may need an upgrade for efficiency. The AI revolution isn't exactly eco-friendly, but innovations like photon-powered hardware might save us from melting glaciers... eventually.
5️⃣ Agentic AI: Calculators, Planning, and the Great Web Crawl
 Agentic AI (think Jarvis but for spreadsheets) is on the rise. Challenges? Getting models to plan without running amok or draining company wallets with infinite API calls. Chip imagines a future where AI "plans" better than your quarterly meetings (low bar, we know).
💡 Pro Tip from Chip: Learning is a privilege, not a chore. Stay curious, take risks, and embrace every chance to learn—even if it means wading into the deep end of innovation.

Link to our Book: Ai in a Weekend: 
https://amzn.to/3DvxrY6
Link to Chip's Book: 
https://amzn.to/4bBwSbM

Topics:
AI Engineering, Digital Transformation, Machine Learning, Synthetic Data, Energy Efficiency, Agentic AI, Hallucinations, 2025 Predictions, Evaluation-driven Development, Transformer Models

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