Leverage Data Intelligence in Enterprise Mobility Management
Illustration: © IoT For All No matter what your company does, you likely use mobile devices to do it. In
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Tag: intelligence
The Shift from Models to Compound AI Systems – The Berkeley Artificial Intelligence Research Blog
AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such
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Detecting Text Ghostwritten by Large Language Models – The Berkeley Artificial Intelligence Research Blog
The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so
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Asymmetric Certified Robustness via Feature-Convex Neural Networks – The Berkeley Artificial Intelligence Research Blog
Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for
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Goal Representations for Instruction Following – The Berkeley Artificial Intelligence Research Blog
Goal Representations for Instruction Following A longstanding goal of the field of robot learning has been to create generalist agents
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Rethinking the Role of PPO in RLHF – The Berkeley Artificial Intelligence Research Blog
Rethinking the Role of PPO in RLHF TL;DR: In RLHF, there’s tension between the reward learning phase, which uses human
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Training Diffusion Models with Reinforcement Learning – The Berkeley Artificial Intelligence Research Blog
Training Diffusion Models with Reinforcement Learning replay Diffusion models have recently emerged as the de facto standard for generating complex,
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On the Stepwise Nature of Self-Supervised Learning – The Berkeley Artificial Intelligence Research Blog
Figure 1: stepwise behavior in self-supervised learning. When training common SSL algorithms, we find that the loss descends in a
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Generating 3D Molecular Conformers via Equivariant Coarse-Graining and Aggregated Attention – The Berkeley Artificial Intelligence Research Blog
Figure 1: CoarsenConf architecture. Molecular conformer generation is a fundamental task in computational chemistry. The objective is to predict stable
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Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models – The Berkeley Artificial Intelligence Research Blog
TL;DR: Text Prompt -> LLM -> Intermediate Representation (such as an image layout) -> Stable Diffusion -> Image. Recent advancements
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