Exploring Programming Languages for Machine Learning

Frances Buontempo joins Phil and returning guest co-host, Matt Godbolt. Frances talks to us about her new book on modern C++ as well as her the topic of her previous book on machine learning. We discuss the differences between LLM-based AI and more statistical approaches, as well as where random numbers fit into all this and the limitations of their current support in C++.

News

• CppCon programme announced
• C++ on Sea videos
• "Inside STL" - The Old New Thing (August archive)
• Open source C++ projects that use modern C++ features (Reddit)

Links

• "C++ Bookcamp" (title may change) - Frances' new book
• "Genetic Algorithms and Machine Learning for Programmers" - Frances' previous book
• Overload issues (submit articles on the main ACCU site)
• Frances' paper bag escapology certificate
• Shannon's mind reading paper
• ERNIE (Electronic Random Number Indicator Equipment)
• P2059R0 - "Make Pseudo-random Numbers Portable" (defunct)
• "Using, Generating and Testing with Pseudo-Random Numbers" - Frances' ACCU 2023 talk
• "Program your way out of a paper bag" series:
  • "How to program your way out of a paper bag" (slides)
  • "How to Evolve Your Way Out of a Paper Bag" (video)
  • "Diffuse your way out of a paper bag" (video)
  • "How to Evolve Your Way Out of a Paper Bag" (video)
  • "Crowd Your Way Out of a Paper Bag" (video)