Best fine-tuning skills, page 7

A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO…

ericrisco/rsc-harness

A skill your agent uses when adapting an open-weight model to a target form or behavior — tone, output format, reasoning pattern — via LoRA/QLoRA or full fine-tuning with TRL SFTTrainer, then…

ericrisco/rsc-harness

A skill your agent uses when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping.

ericrisco/rsc-harness

A skill your agent uses when fine-tuning an open-weight LLM fast on ONE GPU with low VRAM — Unsloth's fast model loaders with 4-bit QLoRA and the trl trainer, response-only loss masking so the…

ericrisco/rsc-harness

Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing.

seb1n/awesome-ai-agent-skills

27 ai & machine learning skills. An agent skill from wentorai/research-plugins.

wentorai/research-plugins

Offline experimental post-call feedback scorer using supplied ratings and text heuristics.

CALLE-AI/awesome-phone-call-agents

Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems.

magnus919/agent-skills

Plan and execute production ML engineering work — model training and fine-tuning (LoRA/QLoRA), evaluation and eval-set design, quantization decisions, inference deployment, lineage, feature parity…

magnus919/agent-skills

Classifies sensitive data in AI/ML training datasets including bias detection for Art.

mukul975/Privacy-Data-Protection-Skills

Stage 4 of the Clinical ASR Flywheel. An agent skill from NVIDIA/skills.

NVIDIA/skills

A full development pipeline where an agent team collaborates to develop fullstack web apps through requirements analysis, design, frontend, backend, testing, and deployment.

revfactory/harness-100

Full pipeline where an agent team collaborates to develop an LLM app.

revfactory/harness-100

Text analytics methodology. An agent skill from revfactory/harness-100.

revfactory/harness-100

Text processing pipeline: an agent team collaborates to perform preprocessing, classification, entity/keyword extraction, sentiment analysis, summarization, structured data conversion, and report…

revfactory/harness-100

Provider-independent governance workflow for verifying and correcting human- or model-generated video descriptions.

calesthio/generative-media-skills

LLM workloads on open-source Ray (pinned to 2.57) — OpenAI-compatible serving with ray.serve.llm (vLLM-backed LLMConfig + buildopenaiapp) and batch inference with ray.data.llm (buildprocessor).

pproenca/dot-skills

Analyzes an AI/ML publication — paper, preprint, article, technical blog post — and extracts what an enterprise AI engineer should do about it.

oaustegard/claude-skills

Expert-level AI Trainer specializing in Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-Tuning (SFT) data creation, preference data collection, reward model training, annotation…

theneoai/awesome-skills

Hugging Face expert: Transformers, Datasets, PEFT (LoRA/QLoRA), model fine-tuning, GGUF quantization, Text Generation Inference, pipeline optimization.

theneoai/awesome-skills

Expert LLM Training Engineer with 6+ years of experience in large-scale model pre-training, fine-tuning, alignment, and efficient inference.

theneoai/awesome-skills

Elite NLP Engineer skill with expertise in transformer architectures (BERT, GPT, T5), text processing pipelines, LLM fine-tuning, RAG systems, and production NLP deployment.

theneoai/awesome-skills

Model fine-tuning covering dataset preparation, LoRA and QLoRA, instruction tuning, RLHF and DPO, benchmarking, overfitting prevention, compute requirements, Hugging Face Trainer, and the…

FerroxLabs/wayland

Large language model fine-tuning expertise covering LoRA and QLoRA parameter-efficient methods, full fine-tuning strategies, dataset preparation and curation, instruction tuning, DPO alignment…

FerroxLabs/wayland

ML pipeline design covering feature engineering, model training workflows, hyperparameter tuning, cross-validation, experiment tracking (MLflow, W&B), model versioning, data versioning (DVC)…

FerroxLabs/wayland