lastmile-ai/mcp-agentjust droppedNEW
dottxt-ai/outlinesjust droppedNEW
getomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesNEWlastmile-ai/mcp-agentjust droppedNEWdottxt-ai/outlinesjust droppedNEWgetomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesLoRA is a parameter-efficient fine-tuning method that trains small adapter matrices instead of the full model, cutting the cost of customising an LLM dramatically.
LoRA freezes the base model's weights and learns small low-rank update matrices, so the trained artifact is tiny and can be swapped or stacked on top of the base. This brought fine-tuning within reach of a single GPU and made custom models practical for small teams.
Open-source toolchains support LoRA out of the box, and QLoRA adds quantization so even large base models can be adapted on modest hardware.
A hand-curated library of the best machine learning education — 590 docs (78 arXiv papers, 474 course lectures from Stanford/MIT/Karpathy/fast.ai, 38 explainer articles), normalized to Markdown with full provenance. A clean ML corpus/dataset for learning, RAG, and fine-tuning.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
3D explorable atlas of every neuron in a transformer LLM. Click neurons, trace residual highways, compare cross-architecture conservation. Live demo: https://charenix.com/qwen3b-atlas