Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
Dot Physics on MSN
Python physics tutorial: Modeling 1D motion with loops
Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
Dot Physics on MSN
Learn how to model a mass and spring using Python
Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...
Abstract: The advancement in technology has improved the accessibility of communications for a person with hearing impairment significantly. A full implementation approach for sign language ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
A from scratch PyTorch implementation of DDPM and DDIM samplers trained on 2D manifold data. Features a custom linear noise scheduler, sinusoidal time embeddings, and zero external diffusion libraries ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
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