Artificial Intelligence
Explore the world of AI, machine learning, and data science.
AI Is a Tool - Your Expertise Makes It Valuable
Artificial intelligence is transforming how we work, create, and solve problems. But AI is only as useful as the person guiding it - it amplifies your existing knowledge and accelerates research, but it does not replace understanding. Whether you are exploring local AI models, building intelligent applications, or simply trying to understand the landscape, these guides will help you make informed decisions.
Wizard Tech Services offers AI & Automation services including local AI installation, model management, and training. Read our AI philosophy to understand our approach to responsible AI adoption.
Machine learning enables systems to learn patterns from data without explicit programming. Explore supervised, unsupervised, and reinforcement learning, plus feature engineering and evaluation metrics like accuracy, precision, and recall.
LLMs like GPT-5, Claude 5, Gemini, and LLaMA power conversational AI; Stable Diffusion, FLUX, and DALL-E generate images from text. Compare cloud APIs vs. local inference, parameter counts, quantization, and fine-tuning for your domain.
AI workloads are GPU-intensive - VRAM is the bottleneck. NVIDIA RTX 5090 (32 GB), H100, and B200 lead; 12+ GB cards comfortably handle 7B-13B models locally. Also covers llama.cpp CPU inference, Apple Silicon (M4 Max/Ultra), and cloud GPU rental.
Data science bridges raw data and actionable insights using statistics and programming. Python with pandas, NumPy, scikit-learn, and Jupyter notebooks is the standard toolkit. Covers cleaning, analysis, and visualization with Matplotlib and Plotly.
PyTorch and TensorFlow dominate deep learning; LangChain and LlamaIndex simplify RAG-based LLM apps; Hugging Face hosts thousands of models. Covers prompt engineering, vector databases, and deploying AI as APIs.
Computer vision enables machines to interpret images and video - object detection, facial recognition, medical imaging, and more. OpenCV handles foundational processing; YOLO and ResNet tackle complex recognition tasks.