LinkedIn's journey shows that for real-world enterprise AI, emphasis on specific models or cool agentic systems should take a ...
KILLEEN, Texas — Killeen ISD is beginning "District Optimization," a strategic planning process meant to improve student success, the district has announced. According to Killeen ISD, District ...
Abstract: Recent studies have explored querying large language models (LLMs) to serve as predictors for graph mining tasks on text-attributed graphs (TAGs), establishing a promising paradigm that ...
Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...
The current RLOO trainer implementation has significant memory inefficiency when handling multiple generations per prompt. This proposal introduces a string-level processing optimization inspired by ...
What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...
Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
The many stages of a bioprocess offer endless opportunities for optimization. Improving a process starts with process design (PD) and never really ends. In late 2024, Jun Luo, PhD, Genentech’s head of ...
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