Archives de catégorie : Non classé

HoneyBee: Intel Labs and Mila Collaborate on State-of-the-Art Language Model for Materials Science

Intel Labs and Mila collaborate on HoneyBee, a large language model specialized to materials science. The team uses MatSci-Instruct, an instruction-based process for trustworthy data curation in materials science, to fine-tune HoneyBee.

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What is an AI PC and How Can It Help Me?

What is an AI PC? An AI PC is simply a new computer with components that are specifically designed to run powerful AI-accelerated software (more on that in a sec) with great performance and quality. Over the next two years, Intel … Continuer la lecture

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Advent of GenAI Hackathon: Recap of Challenge 2

Prediction Guard, member of the Intel® Liftoff for Startups program, is hosting a generative AI hackathon with the support of the Liftoff team.

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Advent of GenAI Hackathon: Recap of Challenge 1

Prediction Guard, member of the Intel® Liftoff for Startups program, is hosting a generative AI hackathon with the support of the Liftoff team.

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Fireside Chat: Insights and Innovations from the Advent of GenAI Hackathon

Insights and Innovations from the Advent of GenAI Hackathon with Rahul Unnikrishnan Nair, Architect in Applied AI and Engineering Lead at Intel® Liftoff for Startups, and Daniel Whitenack, the founder of Prediction Guard

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Intel Labs Presents 31 Papers at NeurIPS 2023

This year, Intel Labs presents 31 papers at NeurIPS, including 12 at the main conference. Contributions include training encoding models that can transfer across fMRI responses to stories and movies, a scalable framework for automatic generation of counterfactual examples using … Continuer la lecture

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GenAI Essentials: Inference with Falcon-7B and Zephyr-7B

Open-source LLMs Falcon-7B and Zephyr-7B for building your own conversational AI system

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Intel neural-chat-7b Model Achieves Top Ranking on LLM Leaderboard!

Intel uses supervised fine-tuning to produce a leading small LLM for commercial chatbot deployment

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A Fresh Take on Neural Network Pruning from the Angle of Graph Theory

Model pruning is arguably one of the oldest methods of deep neural networks (DNN) model size reduction that dates to the 90s, and quite stunningly, is still a very active area of research in the AI community. Pruning in a … Continuer la lecture

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ULTRA: Foundation Models for Knowledge Graph Reasoning

Training a single generic model for solving arbitrary datasets is always a dream for ML researchers, especially in the era of foundation models. While such dreams have been realized in perception domains like images or natural languages, whether they can … Continuer la lecture

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