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Articles récents
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
- Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
- Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
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Neural networks news
Intel NN News
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
From community curiosity to real-world inference – showing how local language models run with […]
- Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
In this post, we'll dicuss how to run responsive, CPU-only applications using a quantized SLM in […]
- Intel® AI for Enterprise Inference as a Deployable Architecture on IBM Cloud
Intel® AI for Enterprise Inference as a Deployable Architecture on IBM CloudAuthored by: Pai […]
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
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Archives de catégorie : Non classé
AI PC Pilot Hackathon ‘24 Where Intel® Student Ambassadors Built High-performance AI Solutions
Top projects built by Intel® Student Ambassadors at the AI PC Pilot hackathon ’24.
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Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model
Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model
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Deploy a DeepSeek-R1-Distill Chatbot in Minutes on Low-Cost AWS Xeon Instances
Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model
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Introducing Intel’s new NLP model: Polite Guard
This article introduces Intel’s new NLP model, Polite Guard.
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Intel Labs AI Tool Research Protects Artist Data and Human Voices from Use by Generative AI
The Trusted Media research team at Intel Labs is working on several projects to help artists and content owners protect their data from being used in generative artificial intelligence (AI) applications
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Does DeepSeek* Solve the Small Scale Model Performance Puzzle?
Learn how the DeepSeek-R1 distilled reasoning model performs and see how it works on Intel hardware.
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Developers Built Impactful Solutions at the Intel® AI Hackathon (IEEE INDICON 2024)
INDICON 2024, the flagship conference of the IEEE India Council was organized at the Indian Institute of Technology (IIT), Kharagpur (ranked as #5 among the top national engineering institutes declared by the Govt. of India in 2024)[1] in December’24. Intel, … Continuer la lecture
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Intel Scalable Vector Search: A Performance Library for Large-Scale Similarity Search
Vector search is at the core of the AI revolution. It provides applications with access to semantically relevant unstructured data. Scalable Vector Search (SVS) is a performance library for billion-scale similarity search that offers high-performance computing optimizations, along with vector compression … Continuer la lecture
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Automating Customer Service with Dowork.ai: Explore the Future of AI-Driven Support
Discover how Dowork.ai is transforming customer service for SMEs with AI-powered automation. In their latest video, Mushegh Gevorgyan, Co-Founder of Dowork.ai, explains how their platform automates up to 90% of customer interactions, allowing businesses to scale efficiently. Watch the video … Continuer la lecture
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Empowering Enterprises with AI: The Mango Jelly’s Game-Changing Approach
Discover how The Mango Jelly, an Intel® Liftoff member, is transforming marketing analytics for enterprises. By leveraging open-source AI models, the startup delivers secure, scalable, and intuitive solutions that save businesses time and effort. Learn how their innovative platform is … Continuer la lecture
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