Published inData Science CollectiveHow to build knowledge graphs with Llama 4 without any manual work.Some ideas are sexy on paper, but frustrating in practice.5d ago15d ago1
Published inLevel Up Coding5 Common Mistakes AI Engineers Make in Their First RAG.What I wish I knew before building apps with LLMs.Apr 212Apr 212
Published inAI AdvancesThis NumPy Alternative is built for GPUs and is 25X faster.And it needs almost no changes to your NumPy code.Apr 112Apr 112
Published inTowards AIBreak The Vector Search Dependency for Truly Robust RAG SystemsWhy your RAGs need more than just semantic search to succeed.Apr 1Apr 1
Published inAI AdvancesA Timeline of Significant Discoveries That Led to Better AI Reasoning.How LLMs evolved to think — From few-shot chain-of-thoughts to chain of drafts.Mar 212Mar 212
Published inAI AdvancesAdvanced Prompt Caching Techniques to Build Faster & Cheaper AI.Let’s implement semantic cache retrieval using Postgres with custom TTL & more.Mar 144Mar 144
Published inTowards AITry This to Keep Your Python Code Clean ForeverA set-and-forget technique to automatically fix your code.Mar 123Mar 123
Published inAI AdvancesReranking Can Improve Your RAGs (But Not Without A Tweak)Rerank context with limited resources and create RAGs that perform effectively.Mar 10Mar 10
Published inAI AdvancesPrompt Engineering (for Everyday Tasks) Doesn’t Have to Be So ComplicatedHere’s your quick checklist to get high-quality responses every time.Mar 79Mar 79
Published inAI AdvancesOne of These Will Be Your Favorite Chunking Technique For RAGs.Document splitting and RAGs beyond the basics.Feb 187Feb 187