This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Find out how LLM quantization solves the challenges of making AI work on device In the rapidly evolving world of artificial intelligence (AI), the growth of large language models (LLMs) has been nothing short of astounding. These […]
Quantization: Unlocking Scalability for Large Language Models Read More +
Tae-Ho Kim, CTO and Co-founder of Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Kim demonstrates his company’s Vision Language Model (VLM) solution, designed to elevate vehicle safety. Advanced models analyze and interpret visual data to prevent accidents and enhance driving experiences. The
Nota AI Demonstration of Elevating Traffic Safety with Vision Language Models Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to interact with image and video input using natural language, making the technology more accessible and
Develop Generative AI-powered Visual AI Agents for the Edge Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Upcoming generative AI trends and Qualcomm Technologies’ role in enabling the next wave of innovation on-device The generative artificial intelligence (AI) era has begun. Generative AI innovations continue at a rapid pace and are being woven into
What’s Next in On-device Generative AI? Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Run generative AI NVIDIA NIM microservices locally on NVIDIA RTX AI workstations and NVIDIA GeForce RTX systems. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible
Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI Read More +
Todd Vierra, Vice President of Customer Engagement at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Vierra demonstrates the efficient processing of generative text using Temporal Event-based Neural Networks (TENNs) compared to ChatGPT. The TENN, an innovative, light-weight neural network architecture, combines convolution in
BrainChip Demonstration of the Power of Temporal Event-based Neural Networks (TENNs) Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. With over 100 pre-optimized AI and generative AI models, the Qualcomm AI Hub is a developer’s gateway to superior on-device AI performance Generative AI has been evolving to run on device, in addition to the cloud. It
AI Developer Workflows, Simplified: Empowering Developers with the Qualcomm AI Hub Read More +
Europe’s largest private AI lab to accelerate the development and deployment of AMD-powered AI models and software solutions Enhances open-source AI software capabilities for efficient training and inference on AMD compute platforms SANTA CLARA, Calif. — July 10, 2024 — AMD (NASDAQ: AMD) today announced the signing of a definitive agreement to acquire Silo AI,
AMD to Acquire Silo AI to Expand Enterprise AI Solutions Globally Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Research’s GauGAN demo set the scene for a new wave of generative AI apps supercharging creative workflows. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more
Decoding How the Generative AI Revolution BeGAN Read More +
Pete Warden, CEO of Useful Sensors, presents the “Deploying Large Language Models on a Raspberry Pi,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Warden outlines the key steps required to implement a large language model (LLM) on a Raspberry Pi. He begins by outlining the motivations for running LLMs on the
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Useful Sensors Read More +
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