Model Training Insights
The discussion delves into the challenges of model prediction, highlighting the limitations of current outputs. With the use of Michael's dataset, the team explores the benefits of virtually unlimited training data, achieving a performance range of 10-25% with the Llama model. Additionally, the conversation touches on advanced inference techniques that significantly enhance results, raising questions about the ethics of such methods in real-world applications.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
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