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0:50
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Ruflo spin up 60 AI agent yang kerja bareng kayak satu tim - ada yang pimpin, ada yang riset, coding, testing, review. Mereka punya memori bersama jadi makin lama makin pintar. Plus auto-routing model: token lo turun 50%, Claude Code lo kepake 2,5x lebih lama. Gratis. Open source. Lagi #1 di GitHub. #ClaudeCode #AIAgent #AIGratis #OpenSource BelajarCoding
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AI agents default to generating code. Ponytail makes your agent ask whether it should. Before writing anything, the skill forces it to reason like the laziest senior developer in the room — the one who knows the best code is the code you never wrote. Can this be done by deleting something? Reusing what exists? Not building it at all? Less code, less surface area, fewer bugs. The senior-engineer instinct, bottled into a skill. #github #opensource
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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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