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Title & Speakers	Event
Small Language Models for Edge Intelligence: Fine-tuning, Deployment, and Azure Integration 2024-12-12 · 16:00 A presentation on the role of Small Language Models (SLM) in solving business problems and improving device capabilities. It covers comparing SLM to Large Language Models (LLM), the importance of customization in fine-tuning, deploying models on edge devices for real-time processing, and a roadmap from cloud development to deployment across platforms with Azure. The session concludes with a discussion of Microsoft's Student Ambassador Program and its role in fostering innovation and skill-building. small language models (slm) large language models (llm) edge computing Azure cloud development	Tiny But Mighty: Unleashing the Power of Small Language Models
SLMs for Edge Devices: Fine-Tuning, Deployment, and Azure Integration 2024-12-12 · 16:00 Overview of Small Language Models (SLMs) in solving business problems and improving device capabilities. Compares SLM with Large Language Models (LLMs) and explains why SLM may be better suited for an organization's needs, with emphasis on customization via fine-tuning. Covers deploying models on edge devices for real-time processing and decision-making, plus a roadmap from cloud development to cross-platform deployment, with Azure for seamless integration and IP ownership. Concludes with how Microsoft's Student Ambassador Program can empower students to bridge academia and industry and foster innovation. small language models (slm) large language models (llm) fine-tuning edge devices Azure	Tiny But Mighty: Unleashing the Power of Small Language Models
Small Language Models for Edge Devices: Customization, Deployment, and Real-Time Intelligence 2024-12-12 · 16:00 Overview of how Small Language Models (SLMs) can solve business problems and boost device intelligence, with a comparison to Large Language Models (LLMs). Focus on fine-tuning and customization, edge deployments for real-time processing, and a cloud-to-edge deployment roadmap using Azure to maintain IP ownership and integration. Includes perspectives on leveraging SLMs to revolutionize devices and mentions Microsoft’s Student Ambassador Program energizing students to advance intelligent tech. Azure small language models edge computing cloud deployment llms	Tiny But Mighty: Unleashing the Power of Small Language Models

Small Language Models for Edge Intelligence: Fine-tuning, Deployment, and Azure Integration 2024-12-12 · 16:00

A presentation on the role of Small Language Models (SLM) in solving business problems and improving device capabilities. It covers comparing SLM to Large Language Models (LLM), the importance of customization in fine-tuning, deploying models on edge devices for real-time processing, and a roadmap from cloud development to deployment across platforms with Azure. The session concludes with a discussion of Microsoft's Student Ambassador Program and its role in fostering innovation and skill-building.

small language models (slm) large language models (llm) edge computing Azure cloud development

Tiny But Mighty: Unleashing the Power of Small Language Models

SLMs for Edge Devices: Fine-Tuning, Deployment, and Azure Integration 2024-12-12 · 16:00

Overview of Small Language Models (SLMs) in solving business problems and improving device capabilities. Compares SLM with Large Language Models (LLMs) and explains why SLM may be better suited for an organization's needs, with emphasis on customization via fine-tuning. Covers deploying models on edge devices for real-time processing and decision-making, plus a roadmap from cloud development to cross-platform deployment, with Azure for seamless integration and IP ownership. Concludes with how Microsoft's Student Ambassador Program can empower students to bridge academia and industry and foster innovation.

small language models (slm) large language models (llm) fine-tuning edge devices Azure

Tiny But Mighty: Unleashing the Power of Small Language Models

Small Language Models for Edge Devices: Customization, Deployment, and Real-Time Intelligence 2024-12-12 · 16:00

Overview of how Small Language Models (SLMs) can solve business problems and boost device intelligence, with a comparison to Large Language Models (LLMs). Focus on fine-tuning and customization, edge deployments for real-time processing, and a cloud-to-edge deployment roadmap using Azure to maintain IP ownership and integration. Includes perspectives on leveraging SLMs to revolutionize devices and mentions Microsoft’s Student Ambassador Program energizing students to advance intelligent tech.

Azure small language models edge computing cloud deployment llms

Tiny But Mighty: Unleashing the Power of Small Language Models

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