Hugging Face helps companies develop AI

New York-based AI startup Hugging Face is teaming up with Amazon and Google to launch new open-source software aimed at lowering the cost of developing chatbots and other AI systems, Stephen Nellis reports for Reuters. The offering, called “HUGS” (Hugging Face for Generative AI Services), automates the implementation of AI models and will be available …

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Cohere’s Embed 3 now searches for images

AI company Cohere has added multimodal capabilities to its Embed 3 embedding model, allowing images to be included in RAG-based company searches. This is reported by Emilia David for VentureBeat. The new version can create embeddings for both images and text, with both formats stored in a unified database. According to Cohere, this allows companies …

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“Computer Use”: Anthropic’s Claude can now control your PC

Anthropic has unveiled an updated version of its AI model Claude 3.5 Sonnet. According to the company, the model can now control desktop applications and perform PC tasks. It uses a new “Computer Use” feature, which is in public beta. Anthropic emphasizes that the technology is still error-prone and recommends developers initially test it only …

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IBM launches Granite 3.0 models for enterprise

IBM has launched its Granite 3.0 large language models (LLMs), expanding its enterprise AI offerings, Sean Michael Kerner reports for VentureBeat. The new open-source models, available under the Apache 2.0 license, are designed for various enterprise applications, including customer service, IT automation, and cybersecurity. IBM claims the models outperform competitors like Google and Anthropic, having …

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Sana is a small and extremely fast AI image generator

A new text-to-image framework called Sana can efficiently and quickly generate high-resolution images up to 4096 x 4096 pixels. The system uses a deep compression autoencoder, linear attention, and a decoder-based text encoder to optimize performance. According to the developers, Sana-0.6B can compete with state-of-the-art large diffusion models, but is 20 times smaller and over …

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Endor Labs scores open source AI models

Endor Labs has launched a new platform to score over 900,000 open-source AI models available on Hugging Face, focusing on security, activity, quality, and popularity. This initiative aims to address concerns regarding the trustworthiness and security of AI models, which often have complex dependencies and vulnerabilities, reports VentureBeat. Developers can query the platform about model …

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Galileo evaluates AI models for business use

Galileo, an AI startup led by Vikram Chatterji, has raised $45 million in a Series B funding round, totaling $68 million since its inception three years ago. The company focuses on evaluating AI models to ensure they function effectively and do not generate incorrect information or leak sensitive data, reports Forbes. Its product suite includes …

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DataStax and Nvidia accelerate AI development for companies

DataStax has unveiled a new AI platform in collaboration with Nvidia, aimed at assisting enterprises with AI development. As reported by Sean Michael Kerner for VentureBeat, the platform combines DataStax’s database technology and visual AI orchestration tool Langflow with Nvidia’s enterprise AI components. According to DataStax, the new solution can reduce AI development time by …

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OpenAI Swarm is a framework for AI agents

OpenAI has unveiled “Swarm,” an experimental framework for networks of AI agents, according to VentureBeat. Swarm allows developers to create interconnected AI networks that can communicate and solve tasks autonomously. The framework has potential applications in automating various business functions, from market analysis to customer support. However, it also raises ethical concerns regarding security, bias, …

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DeepMind’s Michelangelo tests reasoning in long context windows

DeepMind has introduced the Michelangelo benchmark to evaluate the long-context reasoning capabilities of large language models (LLMs), Ben Dickson reports for VentureBeat. While LLMs can manage extensive context windows, research indicates they struggle with reasoning over complex data structures. Current benchmarks often focus on retrieval tasks, which do not adequately assess a model’s reasoning abilities. …

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