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create-custom-prompt
Prompt for creating custom prompt files
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content media llm ai AI Skills
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grpo
Group Relative Policy Optimization for reinforcement learning from human feedback. Covers GRPOTrainer, reward function design, policy optimization, and KL divergence constraints for stable RLHF training. Includ...
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inference
Fast inference with Unsloth and vLLM backend. Covers model loading, fast_generate(), thinking model output parsing, and memory management for efficient inference.
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sft
Supervised Fine-Tuning with SFTTrainer and Unsloth. Covers dataset preparation, chat template formatting, training configuration, and Unsloth optimizations for 2x faster instruction tuning. Includes thinking mo...
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openwebui
Open WebUI AI chat interface management via Podman Quadlet. Provides a web UI for interacting with Ollama models. Use when users need to configure, start, or manage the Open WebUI service.
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api
Direct REST API operations for Ollama using the requests library. Covers all /api/* endpoints for model management, text generation, chat completion, embeddings, and streaming responses.
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gpu
GPU monitoring and performance metrics for Ollama inference. Check GPU status, VRAM usage, loaded models, and inference performance metrics like tokens per second.
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transformers
Transformer architecture fundamentals. Covers self-attention mechanism, multi-head attention, feed-forward networks, layer normalization, and residual connections. Essential concepts for understanding LLMs.
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rag
Retrieval-Augmented Generation (RAG) for grounding LLM responses with external knowledge. Covers document chunking, embeddings, vector stores (pandas, ChromaDB), similarity search, and conversational RAG pipeli...
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huggingface
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
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localai
LocalAI local inference API management via Podman Quadlet. Provides an OpenAI-compatible API for local model inference with GPU acceleration. Use when users need to configure, start, or manage the LocalAI servi...
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python
Official ollama Python library for LLM inference. Provides a clean, Pythonic interface for text generation, chat completion, embeddings, model management, and streaming responses.
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pods
Aggregate management for all AI pod services. Provides status overview and bulk operations across all pod containers (ollama, jupyter, comfyui, openwebui, localai, fiftyone, jellyfin, runners).
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openai
OpenAI compatibility layer for Ollama. Use the official OpenAI Python library to interact with Ollama, enabling easy migration from OpenAI and compatibility with LangChain, LlamaIndex, and other OpenAI-based to...
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ollama
Ollama LLM inference server management via Podman Quadlet. Single-instance design with GPU acceleration for running local LLMs. Use when users need to configure Ollama, pull models, run inference, or manage the...
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comfyui
ComfyUI node-based Stable Diffusion interface. GPU-accelerated image generation with custom node support and CivitAI model downloads. Use 'ujust comfyui' for configuration, lifecycle management, and model/node...
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langchain
LangChain framework for LLM applications. Covers model wrappers (HuggingFace, Ollama), prompt templates, few-shot learning, output parsing, and chaining techniques for building sophisticated LLM workflows.
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peft
Parameter-efficient fine-tuning with LoRA and Unsloth. Covers LoraConfig, target module selection, QLoRA for 4-bit training, adapter merging, and Unsloth optimizations for 2x faster training.
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evaluation
LLM evaluation and prompt optimization with Evidently.ai. Covers text descriptors, dataset metrics, LLM-as-a-Judge patterns, and automated prompt optimization for classification and generation tasks.
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reward
Reward model training for RLHF pipelines. Covers RewardTrainer, preference dataset preparation, sequence classification heads, and reward scaling for stable reinforcement learning. Includes thinking quality sco...
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telegram-keyboard-design
Design Telegram bot keyboards, buttons, and conversational flows with proper UX patterns. Includes inline keyboards, reply keyboards, button callbacks, and progressive disclosure for better mobile UX.
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prompt-improver
Improve prompts for AI agents and Telegram bots using OpenAI's prompt engineering best practices. Analyzes clarity, specificity, context, and output format. Returns structured improvements.
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telegram-bot-ui-design
Expert in designing Telegram bot interfaces with keyboards, buttons, conversational flows, and mobile-first UX patterns.
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fastapi-async-patterns
Create async FastAPI endpoints with proper error handling, dependency injection, service/repository patterns, and type safety. Includes async database queries, pagination, filtering, and Gemini integration.
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