Autodistill
Use big slow foundation models to train small fast models. Images to inference with no labeling (use foundation models to train supervised models).
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TinyGPT
github.comA Simple, Educational Deep Learning Library
At 16K features
github.comflat autoencoders break. Curved space doesn't
Speeding up LLM inference 2x times (possibly)
asciinema.orgHere's a project I've been working on for the last few months.
Free Inference Engineer and Model Training Roadmap
inferquest.orgFree, gamified roadmaps for LLM engineering: an Inference Engineering path (KV caches, CUDA kernels, production vLLM serving) and a Model Training path (pretraining on a budget, scaling laws, SFT/DPO/GRPO) — 185 tasks with auto-verified milestones instead of a paper certificate.
Smolmodels
github.comopen-source tool to build ML models using natural language