Machine Learning 23
- Why enterprise tech stacks aren't ready for AI agents — and the primitives that can unlock them
- The Domain-Native AI Organization: How to Leverage Domain Expertise
- The Sour Lesson: A Guide to Building AGI-Pilled Products
- The new AI playbook: why LLM-native beats traditional ML in verticals
- AI Evals in Vertical Industries (Guest Talk with Shreya and Hamel)
- Lessons on applying AI in vertical industries
- Own your vertical: A playbook for building a domain-native LLM application
- Mission-Critical Evals at Scale: Learnings from 100,000 medical decisions
- The Truth Is In The Title? Video Title Generation as a novel training objective for video summarisation
- From Correlation to Causation in Machine Learning: Why and How our AI needs to understand causality
- Beginner to Data Scientist in 25 months: Every Project and What I Learnt
- Generating Art with Artificial Intelligence
- Some thoughts on the role of AI in healthcare and whether AI will replace doctors
- Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
- The Best Artificial Intelligence For Healthcare Courses
- Machine learning in medicine in the 2020s: My thoughts
- UK healthcare AI companies to be aware of
- How to find local medical AI projects to get involved with
- How might you use machine learning in a medical career?
- Why should doctors understand machine learning?
- Resources for building the foundational understanding of machine learning
- Why machine learning? Why medicine? Why the hype?
- Key research papers in medical AI - read these first