Pre-built llama-cpp-python wheels with Intel Arc GPU (SYCL) acceleration for Windows. Compiled from JamePeng's fork which adds SYCL support for Intel Arc GPUs. 0.3.35 ...

Download Intel oneAPI Base Toolkit (select individual components during install): 👉 https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit ...

Multimodal AI pipelines typically require separate models to handle text, images, video, and audio, each adding transcription overhead, latency, and cost before any search query can even run. Google’s ...

Gemini Embedding 2 offers a unified framework for embedding and retrieving multimodal data, including text, images, audio, videos and documents, within a shared vector space. As explained by Sam ...

The primary architectural advancement in Gemini Embedding 2 is its ability to map five distinct media types—Text, Image, Video, Audio, and PDF—into a single, high-dimensional vector space. This ...

Perplexity has released pplx-embed, a collection of multilingual embedding models optimized for large-scale retrieval tasks. These models are designed to handle the noise and complexity of web-scale ...

Three years after founding ggml.ai to build open-source AI inference tools, Georgi Gerganov announced Friday he is taking his team to Hugging Face for long-term backing to sustain llama.cpp. Gerganov ...

Chinese open models are spreading fast, from Hugging Face to Silicon Valley. Here’s why that matters. MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to ...

As the tech industry goes all-in on artificial intelligence, you might not be surprised to learn that some of the most in-demand U.S. jobs focus on AI engineering, consulting, and researching. The ...

Alessio Alionço is the founder and CEO of Pipefy, a global leader in AI-driven low code business process automation solutions. Generative AI has rapidly moved from experimentation to the core of ...

Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities but their significant computational and memory demands hinder widespread deployment, especially on resource-constrained ...