Gemini, live at Junction
A 40-second clip from my Google Gemini demo at Junction.
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Playlist on YouTube-
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Interpretable LLMs with the Neuronpedia API
Build a GPT-2 writing assistant, then inspect its predictions with sparse autoencoders and Neuronpedia feature explanations.
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Fine-tuning open-source LLMs
Give an open-source language model a custom personality using your own training examples and parameter-efficient fine-tuning in Colab.
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Designing strategic AI for social games
Build a Python strategy game where AI advisers with different personalities argue for competing policies.
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Automatic prompt engineering & generation
Use Gemini to test prompts, critique failures and score rewritten alternatives on a personality questionnaire.
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LLM-as-a-judge: reliability & evaluation
Use Gemini to judge paired model responses, then compare its choices with human ratings on MT-Bench.
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Making better decisions with uncertain data
Use coin flips and Titanic data to explore Bayesian updates, posterior distributions and credible intervals in Python.
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Hidden bias: how to build fair models
Audit a classifier with Fairlearn, compare fairness metrics across groups, and test the trade-offs of bias mitigation.
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Active learning: doing more with data
Train a classifier from a small labelled dataset, then compare ways to choose the next examples worth labelling.
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Recognising unfamiliar data with predictive uncertainty
Compare standard and Bayesian logistic regression to see why models can be confidently wrong on unfamiliar data.
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Introduction to R
Learn R basics in RStudio, then use dplyr to inspect, filter and sort a dataset of hackathon projects.
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