The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem

Fundamental Choices Impacting Integration and Deployment at Scale of GenAI into Businesses

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Introduction to Getting Faster PyTorch* Programs with TorchDynamo

In this webinar, learn about new computational graph capture features in PyTorch* 2.0, with a focus on TechDynamo.

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Free Multimodal RAG Course from Intel Labs Available on DeepLearning.AI

Interested in learning more about Multimodal RAG?  Want to quickly develop the expertise to create AI systems that can intelligently interact with video content? Then consider joining the over 10,000 developers that have taken the free short course, « Multimodal RAG: Chat with Videos », offered by DeepLearning.AI. 

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The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem

Fundamental Choices Impacting Integration and Deployment at Scale of GenAI into Businesses

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Intel Labs and Collaborators Present Novel Computer Vision Approaches at ECCV 2024

Intel Labs and collaborators will present six papers focused on computer vision and machine learning at ECCV 2024

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Boosting Speech and Text Emotion Recognition Performance Using Intel® oneAPI Tools

Audio and text emotion recognition project by an Intel Student Ambassador using oneAPI tools and NLP.

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Intel® Liftoff Days 2024 – Highlights from the Second Edition

After a successful launch event, the Intel® Liftoff Days returned for a second edition last June. The event was a great opportunity for startups to test multi-modal integration and efficiency through quantization. 

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Developers Built Impactful Solutions on AI PCs at the AGI House’s ‘GenAI Goes Local’ Hackathon

The latest generation of personal computers called the AI PCs have revolutionized the way one can unlock AI acceleration to more efficiently execute AI workloads locally, combining the computational potential of CPU, GPU and NPU (Neural Processing Unit). Intel recently sponsored a ‘GenAI Goes Local’ hackathon at the AGI House on September 7, 2024. The participant developers harnessed the power of GenAI to develop high-quality, optimized solutions using LLMs (Large Language Models) and Vision Language Models (VLMs) on Intel-provided powerful AI PCs at the event.

 

About the AGI House

The AGI House is a community of AI founders and researchers that serves as a « hacker house » for startups, engineers, and researchers for marathon coding sessions.

 

Highlights of the hackathon:

Intel, partnering with Lenovo*, provided 23 AI PC machines at the event to help developers build innovative GenAI projects.Participants included premier local startups and AI thought leaders (such as Jeffrey Morgan, the co-founder of Ollama* framework for LLMs).There were 200 total attendees and 16 project submissions out of which 12 projects AI PCs.2 startups enthusiastically came forward to join the Intel® Liftoff program that helps AI startups grow into large-scale industry-standard companies.

 

Insightful Workshop Sessions at the Hackathon

A diverse lineup of speakers from leading tech companies like Nexa AI*, Ollama, Google*, Hugging Face*, and more showcased their cutting-edge technologies at the event. Intel hosted a workshop introducing the attendees to AI PCs and outlining their purpose, functionalities, key components, and the importance of privacy, low latency, and essential libraries and tools.

 

Winning GenAI Projects at the Hackathon

The following projects were identified as winners for their efforts and ability to enhance productivity and user experiences through GenAI.

 

DejaView, the 1st -place winner, is an AI-powered local semantic image search engine that handles complex human language queries. The team leveraged AI PC, used local images to ensure privacy and local Llama LLMs and VLMs to annotate images and search over images.

 

ThirdEye , the 2nd-place winner, is an AI application that stores users’ entire UI history as context, enabling easy and quick access to required information in the future. The team used AI PC and employed VLM to cache users’ information followed by LLM for recalling the stored information when required. The app allows one to search for not only words, but also calendars, screenshots, or anything that went across the UI.

Open Motion is a fast, AI-powered API that automates calendaring and resolves calendar collisions. It locally automates users’ work plan for free.

 

Each of the 1st-prize winning team members was awarded an AI PC by Intel. While the other winning teams received free credits of Intel® Tiber™ Developer Cloud to build, test and deploy innovative solutions using Intel’s oneAPI-powered extensive software portfolio on the latest hardware including CPUs, GPUs, and other accelerators such as the Intel® Gaudi® AI processors.

→ Details of the other notable GenAI projects developed during the hackathon are available here.

 

Accelerate AI Development with Intel

We encourage you to jumpstart AI development with Intel’s high-performance developer resources. Leverage AI PC development kits, AI frameworks and tools from Intel, allowing your real-world application projects to attain greater heights of efficiency and acceleration.

 

Learn More

AI Tools from IntelBecome A Top AI DeveloperAn Easy Guide to deploying AI Applications on AI PCsGenAI Developer ResourcesoneAPI Programming ModelIntel Tiber Developer CloudEcosystem Developer HubIntel Liftoff: AI Startups Accelerator Program

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The Future of Multicloud and Enterprise AI – Scale, Optimize, and Secure Your Clients’ AI Solutions

In the transformative age of artificial intelligence, professional services firms are the architects of change, helping clients navigate the complexities of AI within multicloud environments. These firms are increasingly tasked with delivering scalable, secure, and flexible AI solutions that drive growth, operational efficiencies, and innovation.

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Elevate Your AI Expertise with Intel® Gaudi® Accelerators

This webinar explores the key technical features, software integration, and future advancements of the Intel Gaudi AI accelerators.

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