Shawn Wang discusses the essence of an AI engineer post his viral essay 'Rise of the AI Engineer', emphasizing skills, team structures, and trends in AI research. Topics include vertical vs. horizontal AI startups, advice for AI product creators, tools for AI products, and key AI trends. The conversation explores the evolution of roles in AI engineering, the AI Engineering World Fair, vertical AI startups, trends in AI capabilities and costs, and the creativity in AI models.
AI engineers crucial in zero to one phase, emphasize product thinking and model implementation.
Trends in AI cover data, GPUs, model types, and operations for competitive success.
AI development includes intelligence commodification, speed advancements, context trends, and creativity embrace.
Deep dives
AI Engineer Role Distinction
The AI engineer role is essential in the zero to one phase of AI projects, distinct from ML engineers who operate in the one to M phase. This distinction emphasizes the need for specialized skills in product thinking and model implementation.
Trends in AI Development
Crucial trends in AI encompass four key battlegrounds: data, GPUs, model types, and operations. These areas highlight competitive aspects crucial for success in AI-related endeavors.
Future of AI Exploration
The future of AI development unveils aspects like commodification of intelligence, inference speed advancements, infinity context trends, and variance exploration for temperature-to-use cases, embracing the creativity and generative capabilities of AI models.
Insights into Building AI Capabilities
Building AI capabilities necessitates the integration of adaptive model strategies, strategic data management, effective GPUs utilizations, and optimized operations for success in AI projects and product development.
High Agency AI Conference Access
To join the High Agency AI conference, visit AI.engineer for tickets. With the code 'High-Agency,' listeners can access this industry-leading event showcasing the latest trends and insights in the AI realm.
In this episode, I chatted with Shawn Wang about his upcoming AI engineering conference and what an AI engineer really is. It's been a year since he penned the viral essay "Rise of the AI Engineer' and we discuss if this new role will be enduring, the make up of the optimal AI team and trends in machine learning.
The Rise of the AI Engineer Blog Post: https://www.latent.space/p/ai-engineer
Chapters 00:00 - Introduction and background on Shawn Wang (Swyx) 03:45 - Reflecting on the "Rise of the AI Engineer" essay 07:30 - Skills and characteristics of AI Engineers 12:15 - Team composition for AI products 16:30 - Vertical vs. horizontal AI startups 23:00 - Advice for AI product creators and leaders 28:15 - Tools and buying vs. building for AI products 33:30 - Key trends in AI research and development 41:00 - Closing thoughts and information on the AI Engineer World Fair Summit
Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to https://hubs.ly/Q02yV72D0
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode