Big or Small, ML Systems Share the Same Fundamentals
The fundamentals remain the same from operating systems to ML—only the scale changes. Learn why understanding the basics is key
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machine learning
Generative AI: How Prompting Works
Curious about how generative AI predicts words? Learn how prompts and tokens work together to create seamless text generation in
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Turning Real Life into Art: Van Gogh Style AI
Ever wondered how your office view or even your cat would look painted by Van Gogh? Check out this AI
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Generative AI for Tiny Devices: Image Creation on Microcontrollers
In this presentation, we dive into the fascinating world of generative AI for image creation—but with a twist! This work
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Why Edge Computing is Here to Stay: Insights from AI & Infrastructure Experts
Edge computing is reshaping the AI landscape, bringing computation closer to where data is generated. Learn why Fortune 500s are
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Mastering Quantization 3 Essential Types Explained
Curious about quantization in machine learning? Discover the 3 main types: ➡️ Linear quantization ➡️ Log quantization ➡️ Weighted quantization
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Reduce Computation Overhead in Large Language Models
Wondering how to cut down computation time in large language models? Modern LLM frameworks use caching to save the intermediate
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What does TinyML and Edge AI actually mean?
Think of it as running AI where the data lives—right on devices at the network’s edge rather than in the
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Deploying TinyML Models at Scale: Insights on Monitoring and Automation – Alessandro Grande
Deploying TinyML Models at Scale: Insights on Monitoring and Automation – Alessandro Grande at tinyML EMEA 2024 Unlock the secrets
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The TinyML Revolution is Here
tinyML Foundation EMEA Innovation Forum 2024 Interview: Goran Vuksic of syntheticAIdata source
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