- AI Everywhere heads to Paris 2024
- Why is diversity so important in AI?
- 3 quick implementation tips from an LLM expert
- Intel’s AI product portfolio supports the new Meta Llama 3 LLM
- How AI is shaping the future of patient care
At this summer’s Olympic and Paralympic Games, Intel will introduce new AI-driven innovations including an immersive experience that allows fans to explore the technology used to measure athletic potential, end-to-end 8K livestreaming, and advancements in universal accessibility at select Olympic and Paralympic facilities.
Why is diversity important in AI? Because AI succeeds or fails based on the quantity and quality of the data it’s given. And because the best outcomes are achieved through diverse and expansive datasets, Intel tasked Habib Matar—one of its brightest computer scientists—to craft an AI coding curriculum that would be as accessible to a novice as it is to a seasoned pro.
In a recent episode of “InTechnology,” Intel’s Camille Morhardt spoke with Sanjay Rajagopalan, chief design and strategy officer at Vianai Systems, about large language models (LLMs), how they work, what they do well, and why they aren’t always correct. Rajagopalan also shared his expertise on implementing LLMs and what to watch out for while offering some quick tips for a successful LLM strategy.
As part of its mission to bring AI everywhere, Intel invests in the software and AI ecosystem to ensure its products are ready for the latest innovations in the dynamic AI space, such as Meta’s newly launched Llama 3 next-gen LLM. Learn how Intel’s AI product portfolio—including Intel® Gaudi® accelerators and Intel® Xeon® processors in the data center—offers developers the latest optimizations to run Llama 3.
Medical providers today are working with AI to reimagine the healthcare experience and complement the expertise of healthcare professionals. In this episode, Intel’s Alex Flores and Peter Shen from Siemens Healthineers share insights into how advanced AI medical technologies are shaping the future of diagnostics, treatment, and patient care strategies in the face of global healthcare challenges.
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