Equipping LLMs with external tools or functions has become popular, showing great performance across diverse domains. Existing research depends on synthesizing large volumes of tool-use trajectories through advanced language models and SFT to enhance LLMs’ […]
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI launched a new PDF export capability for its Deep Research feature today, enabling users to […]
As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly coupled compute clusters with fast interconnects, which are costly, limited in […]
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PlanetPlay announced that data drawn from a new in-game poll called Play2Act showed evidence that gaming has the potential to incentivize greener habits among gamers. The poll found 79% of respondents who had played games with green messages or […]
In machine learning, sequence models are designed to process data with temporal structure, such as language, time series, or signals. These models track dependencies across time steps, making it possible to generate coherent outputs by […]
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In this tutorial, we’ll learn how to leverage the Adala framework to build a modular active learning pipeline for medical symptom classification. We begin by installing and verifying Adala alongside required dependencies, then integrate Google […]
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Bigger models aren’t driving the next wave of AI innovation. The real disruption is quieter: Standardization. […]
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