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What LLMs are actually doing (& language).
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Transformers are what power all modern LLMS. #LLM #explainer #ml #programming
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Top LLMs for Specific Tasks Explained
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TikTokleon.petrou
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Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
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Personal Example of the 'Car Wash Problem' with LLM Claims
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Replying to @crispompoman we use 12 GPUs together for AI? Yes and no. They can work individually, but to use them
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TikToktechmakesart
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The future of AI could be right in front of us! Think about your needs and how you currently use AI. LLMs have familiar pain points that users recognize around the world. Thinking Machines is working to solve them all at once! They just dropped “Inkling,” a 975 billion parameter MoE model. It’s not competing with frontier models on the main benchmarks. Instead, it introduces leaps in efficiency and customization. It can be fine-tuned using “Tinker,” which is the real asset behind Thinking Machin
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TikTokgigaqian
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