AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...
Researchers reveal Prototaxites, a giant Devonian fossil, was not a fungus or plant but a unique extinct lineage.
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
News-Medical.Net on MSN
MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
News-Medical.Net on MSN
CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.
Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their own leaderboards and automatically collect evaluation results from model repositories.
Tech Xplore on MSN
A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
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