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Primary sources and official documentation
Explore the original research and official AI documentation behind SuperAIGuy.com learning guides.
These links point to original research or official documentation used in the educational guides. Provider documentation can change. Consult the linked page for current limits and terms; inclusion here does not imply affiliation.
- Choosing the right model
Anthropic · Link checked
- Models overview
Anthropic · Link checked
- Reduce hallucinations
Anthropic · Link checked
- Introducing Contextual Retrieval
Anthropic Engineering · Link checked
- Your Data and Workers AI
Cloudflare · Link checked
- Gemini API models
Google AI for Developers · Link checked
- Gemma models overview
Google AI for Developers · Link checked
- Prompt design strategies
Google AI for Developers · Link checked
- Understand and count tokens
Google AI for Developers · Link checked
- AI features and your website
Google Search Central · Link checked
- Creating helpful, reliable, people-first content
Google Search Central · Link checked
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis et al. · NeurIPS 2020 / arXiv · Link checked
- Llama 3.3 model card: architecture, evaluation, and limitations
Meta · Link checked
- Llama model cards, licenses, and usage policies
Meta · Link checked
- Evaluation best practices
OpenAI · Link checked
- Model catalog
OpenAI · Link checked
- Prompt engineering
OpenAI · Link checked
- Understanding and counting tokens
OpenAI Help Center · Link checked
- Why language models hallucinate
OpenAI Research · Link checked
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