Anthropic’s Claude: Advancing AI with Safety and Scalability

PyData Global 2025 Recap

A detailed recap of the PyData Global 2025 talk on Anthropic’s Claude, covering its architecture, safety features, and applications in AI.
PyData
AI
Author

Oren Bochman

Published

Sunday, December 14, 2025

Keywords

PyData, Anthropic, Claude, LLMs, AI Safety, Machine Learning

Some post by Anthropic:

  1. Building effective agents - listing some architectural patterns for building agents.

  2. How we built our multi-agent research system - Thier own multi-agent system for research. This also links to [https://github.com/anthropics/claude-cookbooks/tree/main/patterns/agents/prompts] for some prompts

  3. Get inspired by what you can do with Claude More prompt examples.

Citation

BibTeX citation:
@online{bochman2025,
  author = {Bochman, Oren},
  title = {Anthropic’s {Claude:} {Advancing} {AI} with {Safety} and
    {Scalability}},
  date = {2025-12-14},
  url = {https://orenbochman.github.io/posts/2025/2025-12-14-Anthropic/},
  langid = {en}
}
For attribution, please cite this work as:
Bochman, Oren. 2025. “Anthropic’s Claude: Advancing AI with Safety and Scalability.” December 14, 2025. https://orenbochman.github.io/posts/2025/2025-12-14-Anthropic/.