A new set of much more challenging evals has emerged in response, created by companies, nonprofits, and governments. Yet even ...

Sousa suggests, “Look for opportunities to present and solve problems outdoors or in a large indoor area like the gymnasium.” ...

Dec. 12, 2024 — Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its ...

A new so-called “reasoning” AI model, QwQ-32B-Preview, has arrived on the scene. It’s one of the few to rival OpenAI’s o1, and it’s the first available to download under a permissive ...

Cross Selling and Customer Churn Detection using classical Machine Learning algorithms but also Deep Learning Stateful Stream Processing to combine different model execution steps into a more powerful ...

Two mathematical datasets MATH, and GSM8K are selected. The experimental design uses multiple policy models, including Pythia models, math-specialized Llemma models, and Mistral-7B, to explore ...

The Supreme Court urged the Delhi High Court Bar Association to find solutions for women's reservation in its elections, suggesting it could be a model for other bar bodies. The court will review ...

Deep Learning Compiler (DLC) TensorFlow XLA and PyTorch JIT and/or TorchScript Accelerated Linear Algebra (XLA) XLA is a domain-specific compiler for linear algebra that can accelerate TensorFlow ...

It is intended to be useful for both teaching and for engineers who want a solid grounding in the fundamental topics of the field. Some of the mathematics may be beyond undergraduate level, depending ...

A trained AI model can then make a prediction or decision when given new data. For example, if you feed an AI model different pictures labeled as “traffic lights”, it’ll eventually learn ...