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China’s AI future and Huawei’s long game
Ask Huawei CEO Ren Zhengfei for his take on AI in China and the mountain of difficulties facing his company, and you get surprising answers. “I haven’t thought about it,” says Ren, in a Q&A […]
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How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll […]
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Cutting cloud waste at scale: Akamai saves 70% using AI agents orchestrated by kubernetes
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Particularly in this dawning era of generative AI, cloud costs are at […]
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Meta buys stake in Scale AI, raising antitrust concerns
Meta’s $14.8 billion investment in Scale AI – and the hiring of the startup’s CEO – is drawing attention to how US regulators will handle acquihire-style deals under the Trump administration. The deal gives Meta […]
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“Master Video Editing & Coding: Beginner to Pro Guide!”#tech #technology #ai #technical
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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs
The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with […]
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Beyond GPT architecture: Why Google’s Diffusion approach could reshape LLM deployment
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Last month, along with a comprehensive suite of new AI tools and […]
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Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback to specify desired behaviors. However, this approach faces critical limitations as tasks and model behaviors become very complex. Human […]