Optimizing Multimodal AI Inference

In this recap of Rahul Nair’s workshop from Intel® Liftoff Days 2024, we’ll dive into optimization strategies for multimodal AI inference on Intel hardware. Learn how to leverage Intel’s software tools to boost performance and streamline AI workflows.

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The 24.08 Intel® Tiber™ Edge Platform Release is Now Available

Discover the latest Intel Tiber Edge Platform features and revolutionize your edge AI solutions!

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Insights from our Workshop on Inference of Multimodal Models at Intel® Liftoff Days 2024

At Intel® Liftoff Days 2024, mentor Rahul Nair led an engaging workshop on the Inference of Multimodal Models. Dive into the cutting-edge AI techniques he shared, exploring how startups can leverage multimodal data for enhanced performance and real-world applications.

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Synthetic Data And Other Tricks To Speed Up Your Development

During the Intel® Liftoff Days 2024 hackathon, a series of hands-on workshops provided participants with deep insights into cutting-edge AI technologies and methodologies. Let’s unpack what happened in the first workshop.

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Intel Talks at the PyTorch 2024 Conference

Did you miss the PyTorch* Conference held in September of this year? Intel was a Diamond Sponsor for this conference and contributed multiple talks. In this blog, we summarize three talks given by Intel and congratulate the winner and nominee (both from Intel) of a PyTorch contributor award. 

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Developers Utilized Intel® AI Technologies at the University of Michigan’s MHacks’24 Hackathon

Top projects on Intel® Tiber™ AI Cloud and AI PCs at University of Michigan’s MHacks 2024 hackathon

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Free Multimodal RAG Course: Prediction Guard Partners with Intel® Labs and DeepLearning.AI

Ready to take your AI skills to the next level? PredictionGuard, in partnership with Intel® Labs and DeepLearning.AI, is offering a free course on multimodal RAG systems. Learn how to build smart question-answering systems that integrate video, images, and text. Keep reading to find out more.

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Intel Labs Introduces RAG-FiT Open-Source Framework for Retrieval Augmented Generation in LLMs

Intel Labs introduces RAG-FiT, an open-source framework for augmenting large language models for retrieval-augmented generation use cases.

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Innovate with Intel® AI Technologies at the University of Washington’s DubHacks’24 Hackathon

Leverage Intel® Tiber™ AI Cloud and AI PC at the University of Washington’s DubHacks’24 hackathon

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Transforming Skin Health Diagnosis using LLMs and Intel AI Solutions: Developer Spotlight

Skin Diseases affect people globally and have widespread effects on physical health and emotional well-being. One of the significant challenges is diagnosing rare skin health cases. The role of AI powered algorithms and LLM models have emerged as valuable tools in diagnosing skin diseases more accurately.

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