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Understanding post-training quantization, quantization-aware training, and the straight through estimatorImage created by authorLarge AI models are resource-intensive. This makes them expensive to use and very expensive to train. A current area of active research,...
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A practical guide to run lightweight LLMs using pythonContinue reading on Towards Data Science » A practical guide to run lightweight LLMs using pythonContinue reading on Towards Data Science » large-language-models, voice-assistant, machine-learning, data-science,...
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A technical walk-through on leveraging multi-modal AI to classify mixed text and image data, including detailed instructions, executable code examples, and tips for effective implementation.Photo by Tschernjawski Sergej on UnsplashIn AI, one of the most exciting areas...
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These three metrics are commonly usedContinue reading on Towards Data Science » These three metrics are commonly usedContinue reading on Towards Data Science » data-science, machine-learning, mathematics, deep-learning, artificial-intelligence Towards Data Science...
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Data is getting too complicated for Excel to keep upContinue reading on Towards Data Science » Data is getting too complicated for Excel to keep upContinue reading on Towards Data Science » python, excel, spreadsheets, data-science, getting-started Towards Data...
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Estimating GPU memory for deploying the latest open-source LLMsContinue reading on Towards Data Science » Estimating GPU memory for deploying the latest open-source LLMsContinue reading on Towards Data Science » open-source, gpu, genai, deployment, llm Towards Data...