Category: FAANG

This paper introduces a novel generative modeling framework grounded in phase space dynamics, taking inspiration from the principles underlying Critically Damped Langevin Dynamics (CLD). Leveraging insights from stochastic optimal control, we construct a favorable path measure in the phase space that proves highly advantageous for generative sampling. A distinctive feature of our approach is the …

Read more “Generative Modeling with Phase Stochastic Bridges”

At IBM Cloud, we are committed to helping enterprises across industries leverage hybrid cloud and AI technologies to help them drive innovation. For true transformation to begin, we believe it is key to understand the unique challenges organizations are facing—whether it is keeping data secured, addressing data sovereignty requirements or speeding time to market to …

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This paper has been accepted at the Data Problems for Foundation Models workshop at ICLR 2024. Large language models are trained on massive scrapes of the web, which are often unstructured, noisy, and poorly phrased. Current scaling laws show that learning from such data requires an abundance of both compute and data, which grows with …

Read more “Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling”

Imagine that you are a talent acquisition manager at a large corporation, and you’re struggling to find suitable candidates for a critical role. Despite posting the description on multiple job boards, the résumés received are either unqualified or uninteresting. This results in wasted valuable time and resources on manual screening, causing frustration among hiring managers. …

Read more “Revolutionize your talent acquisition strategy: How AI can help you find the right candidates faster”

The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies should get ahead of the game by evaluating their agency-specific priorities and processes. Compliance with official policies through auditing tools and other measures is merely the final step. The groundwork for effectively operationalizing governance is human-centered, …

Read more “AI governance is rapidly evolving — here’s how government agencies must prepare”