83,201 skills sorted by stars.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmar...
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B test...
LLM testing and evaluation tools including promptfoo, trulens, and evals frameworks
LoRA/QLoRA/PEFT fine-tuning workflows, dataset formatting, adapter merging, and eval loops. Covers Hugging Face TRL/PEFT...
Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and d...
Fine-tune large language models efficiently using LoRA, QLoRA, and PEFT methods. Use for domain adaptation, instruction...
LLM Fine-Tuning expert. Covers LoRA, QLoRA, PEFT, dataset preparation, Hugging Face Trainer/TRL, RLHF, DPO, quantization...
LLM function calling (also known as tool use) enables Large Language Models to interact with external systems by calling...
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI...
LLM gateway and routing configuration using OpenRouter and LiteLLM. Invoke when: - Setting up multi-model access (OpenRo...
LLM content governance and compliance standards. Use when llm governance guidance is required.
Comprehensive guide for LLM safety and guardrails implementation.
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download...
Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. Handle t...
LLM integration patterns for Claude, GPT, Gemini, and Ollama. Activate for AI API integration, prompt engineering, token...
Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, infere...
Guide for using LLM utilities in speedy_utils, including memoized OpenAI clients and chat format transformations.
from langchainopenai import ChatOpenAI
LLM-as-judge methodology for comparing code implementations across repositories. Scores implementations on functionality...
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduct...
Comprehensive guide for deploying LLMs locally using Ollama, vLLM, and llama.cpp. Local deployment offers privacy, cost...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services...