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Richard takes the hot seat for the first episode of our 2025 recap series where we spend the rest of December looking back on what this year meant to us personally and in the world of AI/ML. We cover what it's like to defend a thesis in the UK, the difficulty of training meta-learning models, choosing a well scoped research topic, how to define small models, and what's needed to make them better.
By Pierce Freeman & Richard Diehl MartinezRichard takes the hot seat for the first episode of our 2025 recap series where we spend the rest of December looking back on what this year meant to us personally and in the world of AI/ML. We cover what it's like to defend a thesis in the UK, the difficulty of training meta-learning models, choosing a well scoped research topic, how to define small models, and what's needed to make them better.