Dutch suicide prevention website shares data with tech companies without consent
Summary
A technical, beginner-friendly explainer on using transformer-based language models for protein lead optimisation. It covers the base model, evotuning with evolutionarily related sequences, and how grouping data with DPO variants guides training. It also explains how assays and batch effects inform model training, and introduces the logiter and predictor components used for generation and scoring.