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.
AI Models
Leading AI models across text, image, audio, and multimodal capabilities.
Anthropic's frontier model family. The Claude 5 generation leads complex reasoning and agentic coding; Opus 4.8 and Sonnet 5 balance capability and cost; Haiku 4.5 handles fast/cheap workloads - all with 200K+ context.
Key Features:
- Top-tier reasoning, coding, and tool use
- 200K token context window
- Claude Code (CLI) and the Claude Agent SDK
- API access via Anthropic SDK and AWS Bedrock
OpenAI's current flagship - GPT-5 powers ChatGPT and the API, with strong general reasoning, native multimodality, and a large GPT Store/Assistants ecosystem.
Key Features:
- Strong general reasoning and broad knowledge
- Long context (up to 256K on the API)
- Native multimodal (text, image, audio, vision)
- Available via OpenAI API and Azure OpenAI
Open-weight models you can run locally - Meta's LLaMA 4 (Scout/Maverick) and Mistral's Large/Mixtral lineup offer competitive performance with full control over your data and infrastructure.
Key Features:
- Run locally with full data privacy
- Quantized versions fit consumer GPUs
- Fine-tunable for domain-specific tasks
- Community ecosystem of merged and tuned variants
Open-source image generation model you can run locally - create, edit, and upscale images from text prompts with full creative control.
Key Features:
- Text-to-image and image-to-image generation
- Runs locally on consumer GPUs (8+ GB VRAM)
- ControlNet for precise pose and composition
- Active community with thousands of fine-tuned models
Open-source speech recognition model supporting 99 languages - accurate transcription and translation that runs locally or via API.
Key Features:
- 99-language speech recognition
- Runs locally with CPU or GPU
- Real-time transcription with faster-whisper
- Translation to English from any supported language
Google's multimodal AI family. Gemini 2.5 Pro and Flash process text, images, audio, and video natively, with industry-leading 1M+ token context and deep Google Workspace integration.
Key Features:
- Native multimodal input (text, image, audio, video)
- Long context windows (up to 1M tokens)
- Integrated with Google Workspace and Cloud
- Available via Google AI Studio and Vertex AI