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Quantum AI

Quantum AI Revolution: Google Teams Up with Nvidia’s Eos Supercomputer for Breakthroughs

In the rapidly evolving world of technology, Quantum AI stands out as a transformative force, promising to revolutionize how we compute and solve complex problems. This emerging field combines the principles of quantum mechanics with artificial intelligence, enabling unprecedented processing capabilities. Recently, Google and Nvidia have joined forces to push the boundaries of this exciting […]

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Open Source AI Definition 1.0: Exciting New Initiative Released by OSI After Years of Collaboration

The Open Source Initiative (OSI) has officially released version 1.0 of its Open Source AI Definition (OSAID). After years of collaboration with both academia and industry, this new definition aims to standardize what constitutes open source in artificial intelligence, providing clarity for developers, researchers, and policymakers alike. The initiative addresses the growing need for transparency

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sonnet 3.5

Sonnet 3.5 Achieves Impressive 49% Score on SWE-bench Verified

Anthropic has recently presented its Sonnet 3.5 model, which has achieved a remarkable score of 49% on the SWE-bench Verified benchmark. This score marks a significant leap from its predecessor’s performance of 33.4%. The announcement not only positions Sonnet 3.5 as a formidable contender among public models but also illustrates Anthropic’s commitment to advancing artificial

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xAI API Launch: Grok-Beta Uncertain AI Model and Affordable Pricing at $5 and $15 /M tokens Excite Developers

The recent launch of the xAI API has stirred excitement among developers, particularly with its new pricing model for the “grok-beta.” Priced at just $5 per million input tokens and $15 per million output tokens, this offering is making waves in the tech community. However, one major question lingers: what exactly is “grok-beta,” and which

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microsoft-phi-2

Microsoft Phi-2: New AI Language Model for Phones

Microsoft has recently released Phi-2, a revolutionary AI language model designed specifically for phones. This small language model (SML) is capable of outperforming larger models like Llama 2 and Mistral 7B, despite its smaller size. With 2.7 billion parameters, Phi-2 delivers impressive performance that rivals models with billions more connections between artificial neurons. Microsoft Phi-2

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