Explore the complex AI landscape in this insightful 32-minute conference talk featuring DJ Patil, former US Chief Data Scientist, and Joey Gonzalez, founding member of RISElab at UC Berkeley. Delve into regulatory challenges facing the AI industry, emphasizing the importance of overseeing AI applications. Gain behind-the-scenes insights into Joey's AI startup journey with Run LLM, tracing its evolution from cloud technologies to specialized developer assistants. Analyze current AI market trends, including shifting investor perceptions and the challenges of demonstrating AI application value. Discover breakthrough projects from Joey's research group, highlighting advancements in model delivery optimization and agentic language models. Learn about the importance of citations, training processes for AI models, and approaches to building in the current AI landscape. Examine the potential for small companies to compete in model development, explore frameworks for AI regulation, and discuss the concept of fine-tuning. Evaluate winners and losers in the AI field, assess the value proposition of AI, and get a glimpse of upcoming projects in this comprehensive overview of the multifaceted world of artificial intelligence.
Why it Takes Billions: Navigating the AI Landscape - OpenAI, Google, and Nvidia
Data Council via YouTube
Overview
Syllabus
Introduction
Why citations are important
Training Chat GPT
Who created you
How to approach AI
How do you build in this day and age
Small companies can build models that compete
Framework for regulatory
Fine tuning
Winners and losers
The value of AI
Upcoming projects
Taught by
Data Council
