Quantization Explained: Run 70B Models on Consumer GPUs
Learn how quantization lets you run massive 70B parameter AI models on affordable consumer GPUs in 2026. We explain the technique with clear analogies and real-world examples.
Learn how quantization lets you run massive 70B parameter AI models on affordable consumer GPUs in 2026. We explain the technique with clear analogies and real-world examples.
Anthropic's Constitutional AI teaches models core principles rather than rigid rules, allowing them to behave safely across novel situations. Learn exactly how it works and why it's reshaping AI safety.
Transformers have ruled AI for seven years, but Mamba and State Space Models are challenging the throne. Learn how these alternatives match transformer performance while being 5-10x more efficient.
Claude 3.5's multimodal reasoning combines vision and text understanding to outperform specialized models on real-world tasks. Learn how, why it matters, and how to use it.
Transformers aren't magic. They're a fundamentally better way to process sequences through an elegant mechanism called attention. Here's exactly how they work.
Transformers power modern AI, but they're not magic—they're sophisticated pattern-matching systems. Learn how attention mechanisms actually work, why they scale so well, and what they can and can't do.
2026's AI regulations don't constrain everyone equally—they create a moat that favors companies with massive compliance resources, while quietly eliminating the startup ecosystem that birthed modern AI.
Most teams choose between prompt engineering and fine-tuning based on trends, not their actual needs. Learn the real difference, when each approach wins, and how to decide for your specific situation.
Open source LLMs aren't just catching technical metrics—they're destroying the scarcity narrative that made proprietary AI worth billions. When anyone can download a world-class model, the entire economics of AI access invert overnight.
Claude excels at reasoning and long documents, ChatGPT dominates speed and integration, and Gemini offers real-time search—but all three have genuine limitations. Testing across six months reveals which AI actually solves your workflow.
RAG (Retrieval-Augmented Generation) is how modern AI apps stay current, accurate, and aware of your private data. Here's how it works and why you need to understand it.
The EU AI Act doesn't ban AI or protect consumers primarily—it fundamentally shifts AI development toward large companies with compliance infrastructure while making high-risk AI applications substantially harder for startups to pursue.