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Google Researchers Propose Bayesian Teaching Method for Large Language Models
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses on improving how models update beliefs as they receive new information during multi-step interactions.
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Distill Your LLMs and Surpass Their Performance: spaCy's Creator at InfoQ DevSummit Munich
In her presentation at the inaugural edition of InfoQ Dev Summit Munich, Ines Montani built on top of the presentation she had earlier this year at QCon London and provided the audience with practical solutions for using the latest state-of-the-art models in real-world applications and distilling their knowledge into smaller and faster components that you can run and maintain in-house.