Free AI learning hub
Learn AI: from fundamentals to modern systems
Start with how models work, practise checking their answers, then learn retrieval, tools and evaluation. Understand the technology behind the headlines with original lessons and official sources.
Last updated:
Model catalog facts checked on October 1, 2026. This page is a dated snapshot; availability and product terms can change.
What should you learn, and in what order?
For a beginner, a useful order is foundations → prompting → modern technology → evaluation → agents. Progress by completing a task you can check, rather than memorizing model names.
1. Understand the foundations
Learn how AI differs from machine learning, what tokens and context mean, and why fluent answers can be wrong.
2. Practise prompting and verification
Give a clear goal, useful context, constraints and a checkable output. Verify claims against the supplied evidence.
3. Learn modern AI technology
Explore current models, SI / ASI, reasoning, multimodal inputs, retrieval and tool connections in seven practical lessons.
4. Build and evaluate an agent
Understand the plan, act and check loop. Add tools with limited permissions and test failure cases before relying on automation.
5. Add programming when you need it
Use Python for working with data and building small applications. Keep a record of test cases and what you learned.
Current AI models: a source-checked snapshot
These are selected catalog entries, not a complete list or a benchmark ranking. Check model IDs, stable or preview status, input types, access and current terms on the linked official pages.
| Family and source | Model names | Status | What to learn |
|---|---|---|---|
| OpenAI GPT | GPT-6 Astra, GPT-6.1 Sol, GPT-6 Luna | Listed in the current API catalog | Compare reasoning quality, latency and cost on the same task. A ChatGPT subscription and API access are separate products. |
| Anthropic Claude | Claude Fable 5.1, Opus 5.5, Sonnet 5.5, Haiku 4.5 | Listed in the current platform overview | Learn model IDs and versioning. Confirm access on your chosen platform before designing a workflow around a particular model. |
| Google Gemini | Gemini 3.8 Flash, 3.5 Flash-Lite; Gemini 3.1 Pro preview | Flash models stable; 3.1 Pro in preview | Check stable versus preview status, supported input types and retirement notices. Text, live voice and image generation use different endpoints. |
For downloadable models, inspect the individual model card and license. Open weights, open source and unrestricted commercial use are different claims.
What is SI / ASI? How is it different from AGI?
In future-AI discussions, SI often means superintelligence. ASI stands for artificial superintelligence: a proposed system exceeding human ability across a broad range of intellectual tasks. AGI refers to broader general capability, with definitions and measurements still debated. Neither label follows automatically from releasing a more capable chatbot.
Judge specific evidence: tasks measured, failure rates, test conditions and independent verification. Avoid treating a forecast or marketing label as an established capability.
Read the AI, AGI and ASI lesson →Seven practical lessons for modern AI literacy
Each lesson includes an explanation, an original practice task and sources or related reading. No paid subscription is required to read the course.
- AI, AGI and Superintelligence (SI / ASI)
Last updated:
- Choose and Check Current AI Models
Last updated:
- Reasoning Models and Multimodal AI
Last updated:
- RAG, Embeddings and Grounding
Last updated:
- MCP, Tools and Agent Permissions
Last updated:
- Evaluate AI Before Trusting It
Last updated:
- Open Weights, Privacy and Responsible Reuse
Last updated:
AI learning questions, answered directly
- What should I learn first in AI?
- Start with AI fundamentals, tokens, context and checking outputs. Then practise prompting, retrieval and evaluation before giving an agent permission to act. Python is useful for building applications, but you can learn the core ideas without coding.
- What is SI or ASI in artificial intelligence?
- In discussions about future AI, SI often means superintelligence; ASI means artificial superintelligence. It describes a proposed system exceeding human ability across a broad range of intellectual tasks. It is a research concept, not a capability you can infer from a chatbot's confident answer.
- Which AI model is best for learning?
- There is no universal best model. Choose one you can access, test it on your learning tasks, and compare accuracy, explanations, supported inputs, privacy requirements and cost. Verify current names and availability in the vendor's official catalog.
- Are open-weight AI models automatically free for commercial use?
- No. Downloadable weights do not establish permission for every use. Read the specific model license, acceptable-use conditions and any dataset or software licenses before reuse or distribution.
- Does RAG prevent hallucinations?
- No. Retrieval can supply relevant evidence, but the system can retrieve the wrong passage or misrepresent a correct one. Evaluate retrieval and answers separately, show source passages and include cases where the right response is that evidence is missing.
Sources, originality and corrections
Explanations and exercises were drafted for SkillAIVibe. Vendor documentation supports catalog facts; it does not mean we independently benchmarked the products. Research concepts are distinguished from available features. Product names identify their respective owners and imply no endorsement.
- OpenAI model catalog
- Anthropic model overview
- Google Gemini model catalog
- Model Context Protocol documentation
- Anthropic evaluation guide
- Google embeddings guide
- Hugging Face repository licenses
- NIST AI Risk Management Framework
- IBM: artificial superintelligence
See our editorial policy, or report an error. Use fictional or self-written data for practice, and check permissions before publishing or automating work.
Last updated: