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State of the Art Proprietary SLM Development and Local Deployment

Run and fine-tune small language models locally: Ollama, LM Studio, vLLM, GGUF, and proprietary SLM workflows for 2025–2026.

Key Concepts

Ollama, LM Studio, and Open WebUI
GGUF quantization and llama.cpp
vLLM and TensorRT-LLM for inference
Fine-tuning: LoRA, QLoRA, full fine-tuning
Proprietary SLM training pipelines
RAG and embedding models locally
Privacy-preserving and air-gapped deployment

📺 20 Curated YouTube Videos

▶ Ollama LM Studio Private AI Server VirtualizationHowto ▶ Run Llama 3 Locally Ollama LM Studio Mervin Praison ▶ Build AI Server with Ollama 2025 YouTube ▶ Local LLM Setup Tech With Tim ▶ NLP and LLMs freeCodeCamp ▶ Python AI Tools Training Scientists ▶ ML Pipelines freeCodeCamp ▶ AI Coding Riley Brown ▶ FastAPI AI Integration freeCodeCamp ▶ Python for AI freeCodeCamp ▶ Data Science AI freeCodeCamp ▶ LLM Research Two Minute Papers ▶ LLM Fine-tuning freeCodeCamp ▶ Python Backend Corey Schafer ▶ Docker AI Deployment Rishab in Cloud ▶ Computer Vision Models freeCodeCamp ▶ ML NumPy Imarticus ▶ Web Scraping for AI Keith Galli ▶ Async Python for ML ArjanCodes ▶ Scientific Python SciPy

Resources