Demonstrates First-of-Its-Kind Ultra-Efficient Small Language Models (SLMs) and AI Agents
Aizip, in close collaboration with Renesas, announced today the demonstration of ultra-efficient small language models (SLMs) and compact AI agents on Arm-based micro-processor units (MPUs) for a wide range of applications in edge markets. This advancement paves the way for efficient and effective human-AI interactions in home appliances, enterprise kiosks, and many other edge devices.
Large language models (LLMs) have revolutionized the AI landscape, endowing AI systems with logic and reasoning capabilities beyond simple sensing and perception. By leveraging LLMs and recent advancements in multi-modal representation, AI agents can now interact with their environments to utilize tools or perform tasks based on complex and often ambiguous human commands. However, these advanced AI systems typically require substantial effort to train and significant resources to deploy.
Aizip’s mission is to enable pervasive intelligence by building ultra-efficient, robust, and scalable AI models that can be deployed anywhere, anytime. Aizip pushes the boundaries of efficient AI, uncovering key insights such as data-centric efficiency and AI-design automation. Leveraging its expertise in developing efficient and robust edge models, Aizip has now created a series of ultra-efficient small language models (SLMs) and AI agents, named Gizmo, ranging in size from 300 million to 2 billion parameters. These models support diverse platforms, including MPUs and application processors for a broad range of applications.