Explore the final article in our LLM explainer series, covering foundational models, training methods, emergent abilities, hallucinations, legal issues, and GPUs..
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This explainer breaks down LLM transformer layers, how they process and enrich data to produce outputs, and the role of parameters in training LLMs.
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Learn about the transformer architecture that powers LLMs. This explainer breaks down transformer architecture and the concept of attention in plain English—no buzzwords, no fluff
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In the second article in this series, we start to explore core concepts like tokenization and embeddings.
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Learn how LLMs like GPT and BERT actually work. This explainer series breaks down core concepts in plain English, with zero fluff and minimal despair.
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AI is transforming society, but who's in charge of regulating it? From self-driving car accidents to AI errors in customer service, current laws are struggling to keep up. This post dives into the risks of AI and how lawmakers, who can barely understand basic tech, are nowhere near ready to regulate it.
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NFTs were once hailed as the future of digital ownership, but they devolved into a speculative mess that left many holding the bag. From celebrity endorsements to outright scams, let's take a look at the rise and fall of the NFT craze.
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