Posts Tagged with "Embeddings"
From Exfiltration to Evolution: How Model Distillation Could Shape the Future of AI
Jan 29, 2025 | 4 min read
Explore the DeepSeek hypothesis: how model distillation may have been used to extract knowledge from OpenAI's models, highlight...
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Breaking Down 14.8 Trillion Tokens—Why the Numbers Are So Big (And What They Really Mean)
Jan 28, 2025 | 3 min read
Why are AI models trained on trillions of tokens? Learn how large language models like DeepSeek and GPT-4 handle vast datasets,...
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What Are Embeddings? (And How They Revolutionized AI Thinking)
Jan 28, 2025 | 4 min read
Embeddings revolutionized AI by enabling models to understand relationships between words, concepts, and context through mathem...
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How DeepSeek's FP8 Innovation Optimized AI Training—And What We Can Learn From a Sharpie Pen
Jan 27, 2025 | 5 min read
Discover how DeepSeek's FP8 innovation optimized AI training, reducing memory and computation costs by strategically balancing ...
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Why Reference Architectures for AI Bots Don’t Hold Up to Reality
Nov 20, 2024 | 4 min read
Discover why reference architectures for AI bots often fail in real-world implementation. Learn how to navigate hidden traps li...
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