AI Engineer Summit

Charles Frye - AI Engineering 201

[Must preregister, limited to 50 signups] Introductory course for AI Engineers, free for preregistered Summit attendees. Advanced knowledge of AI Engineering, led by instructor Charles Frye of the massively popular Full Stack LLM Bootcamp.

Date
Time
Location
Hotel Nikko

Optional introductory course for AI Engineers, free for all Summit attendees. Advanced knowledge of AI Engineering, led by instructor Charles Frye of the massively popular Full Stack LLM Bootcamp.

Overview:

  • Part I: Running Inference
    • What is the workload?
    • Open vs Proprietary Models
    • Execution
      • End User Device
      • Over a Network
      • Serving Inference
  • Part II: The Rest of the Owl
    • Architectures & Patterns
      • Language User Interfaces
      • RAG and Information Retrieval
      • Tool Use and Structured Output
      • Agents
    • Monitoring, Evaluation, & Observability
      • Monitoring
      • Evaluation, & Observability

Charles Frye

Charles teaches people on the internet, previously with the Full Stack Deep Learning course and community and with Weights & Biases, a San Francisco-based startup building developer tools for machine learning. His PhD focused on artificial neural networks, at UC Berkeley in the Redwood Center for Theoretical Neuroscience, with research supported by the National Science Foundation's Graduate Research Fellowship.

Charles Frye
Instructor, Independent