Learn Agentic AI in the most entertaining and disciplined way
Learn Agentic AI in the most entertaining and disciplined way
Reading Time: < 1 minuteMultimodal AI has a hidden problem. Images ā one tokenizer Videos ā another 3D ā completely different setup And it gets worse: – Models that generate visuals donāt really understand them – Models that understand visualsā¦
Reading Time: < 1 minuteAs companies deploy more AI agents, new problems appear: – Who controls them? – Who decides what data they can access? – What happens when multiple agents start overlapping or conflicting? OpenAI is trying to solveā¦
Reading Time: 3 minutesWhen a multimodal RAG system works with billions of documents (text, images, audio, video), failures are inevitable ā nodes crash, indexes corrupt, queries timeout, embeddings become inconsistent, etc. So we have to design large-scale RAG systems thatā¦
Reading Time: 6 minutesTL,DR: Because the current educational content is lecture-style and boring. We want it to be interesting and fun. The problem The problem with existing edtech content is that it’s mostly lecture-style. One person is teaching, and thereā¦
Reading Time: < 1 minuteWill we eventually design two versions of the internet? AI agents read the web differently from humans. And that’s the reason Cloudflare just introduced āMarkdown for Agents.ā When an AI agent requests a webpage, Cloudflare canā¦
Reading Time: 2 minutesCan Local AI Replace the Cloud? For the last 2-3 years, the AI conversation has been dominated by one assumption: AI = massive cloud data centres. But a new study suggests something interesting: Your laptop may soonā¦
Reading Time: 2 minutesIf youāre running LLMs in production, youāve probably seen this: The problem isnāt always compute. Itās memory. When models āthinkā step by step, they store every reasoning token in GPU memory (KV cache). The longer they think,ā¦