Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
The new lineup includes 30-billion and 105-billion parameter models; a text-to-speech model; a speech-to-text model; and a vision model to parse documents.
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
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