What is generative AI? Text, images and audio explained simply
A plain-English introduction to generative AI: how chatbots and image generators create new content, what they are good at, and the mistakes to watch for.
AI Desk3 min read
Knowledge & Learning
Explainers
How things work under the hood, from transformers to diffusion.
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What are AI agents? How they plan, use tools and take actions
AI agents go beyond chat: they plan, call tools, browse and act toward a goal. How the agent loop works, the main design patterns, real uses and the risks.
AI Desk3 min read
How retrieval-augmented generation (RAG) works, step by step
RAG lets AI answer from your documents. Each stage explained: ingestion, chunking, embeddings, retrieval, reranking, prompting and evaluation, with practical tips.
AI Desk3 min read
GPU vs TPU vs NPU: the AI chips explained
Why AI runs on GPUs, what Google's TPUs and the NPUs in laptops and phones do differently, and how memory, bandwidth and interconnects shape AI performance.
AI Desk3 min read
What is AI alignment? The problem of making AI do what we intend
Why it is hard to make AI systems pursue the goals we actually want, the main techniques used today — from RLHF to constitutional AI — and the open research problems.
AI Desk3 min read
Algorithmic bias explained: how AI systems end up unfair
Where AI bias comes from — data, labels, design and deployment — with landmark examples such as Gender Shades, and the main ways to measure and reduce it.
AI Desk3 min read
Essential AI talks and lectures everyone should watch
A curated list of influential AI talks and lectures — on how language models work, the history of deep learning, AI safety and the future of work — and what each teaches.
AI Desk3 min read