A local inference engine for Apple silicon, built around the model.
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I built an 8-bit binarized convolutional neural network that recognizes handwritten digits on C64 with state-of-the-art accuracy. I also designed a cascade model to get interactive response, and implemented everything with self-modifying cycle optimized 6502 assembly - resulting 0.653s average infer
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Hello HN! We're Dillon and Francesco from Cua. We were wondering how many computer use tasks actually need a full general purpose LLM (e.g. gpt-6-astra, claude-opus-5 etc.) to think through all their decisions and steps. Some tasks require thinking about a plan, exploring different paths, recovering
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hi to all the readers this post is for my recent opensource project called ENZO now answering what is enzo so enzo is an opensource platform where i clubbed all the free available api for anyone use under one hood with more than 2000 models available to use for chatting coding researching and much m
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Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
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I’ve been building PagedServe , an experimental open-source LLM inference runtime for Apple Silicon The problem I wanted to explore was KV-cache fragmentation Most simple inference implementations allocate contiguous memory or reconstruct scattered KV blocks before attention At a
I'm a CS undergrad who has developed an interest in hardware keys ever since I used them for a school project a few years ago. I made a little chat app that only allows users to chat if they registered a key, nothing else. The backstory of how I came to work on Seal (this project
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