Mar 18 · 3 min read · Apple Silicon changed what is possible for local AI. The unified memory architecture means ML models can run on the GPU without copying data between CPU and GPU memory. For a desktop agent that needs to process screen content in real-time, this matte...
Join discussionMar 14 · 8 min read · It started with a tweet. Google Devs posted a demo of FunctionGemma running a game, and I watched this tiny model parse natural language into structured function calls in real time. My immediate thoug
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Oct 30, 2025 · 4 min read · ML Pipeline Tutorial: Fine-tune Models Link to GitHub project you gonna need to follow this: project Learn to build a complete ML pipeline for fine-tuning models using F1 racing data. This tutorial covers data processing, workflow management, and m...
Join discussionSep 15, 2025 · 6 min read · From Stub to Coherent MLX Model, a story-shaped release note Getting Meta's efficient 950M parameter model running natively on Apple Silicon for fast, local inference I’ve done a tiny bit of contributions to the llama.cpp community, including adding ...
Join discussionSep 25, 2024 · 2 min read · 在 2024年9月 @kyutai_labs 在 Huggingface 以及 GitHub 上釋出了即時語音對話模型，該模型是個 7B 模型，如果你有張 RTX 3090 24GB 或者與之大小相符的顯卡就可以跑這顆 Model 了，再來就可能要選擇量化模型了。 相信大家可能或多或少都有看到這篇在 Ｘ 上的貼文，這是一個來自法國的初創團隊 Kyutai，在七月初發佈對標 GPT-4o 的神奇模型。經歷兩個多月的時間，他們也對兌現自己的承諾，不僅把模型開源，甚至程式碼也開源了！ 論文: ht...
Join discussionFeb 16, 2024 · 4 min read · It's interesting how Apple has quietly acquired the most AI startups since 2017, despite not emphasizing AI in their product launches. Apple has been researching generative AI for years, with a focus on conversational AI similar to models like ChatGP...
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