Savvy teams morph dense data into AI’s favorite meal: bite-sized chunks primed for action, indexed and ready to go. This trick spares everyone from slogging through the same info over and over. AI craves structured, context-filled data to keep it grounded and hallucination-free. Without structured p.. read more  

Context engineeringcranks an AI agent up to 11 by juggling memory like a slick OS. It writes, selects, compresses, and isolates—never missing a beat despite those pesky token limits. Nail the context, and you've got a dream team. Slip up, though, and you might trigger chaos, like when ChatGPT went r.. read more  

NLP document search trounces old-school keyword hunting. It taps into scalable*vector databasesandsemantic vectorsto grasp meaning, not just parrot words.* Pictureword vector arithmetic: "King - Man + Woman = Queen." It's magic. Searches become lightning-fast and drenched in context... read more  

TensorZerotransforms developer lives by nabbing feedback fromCursor'sLLM inferences. It dives into the details withtree edit distance (TED)to dissect code. Over in a different corner,Claude 3.7 SonnetschoolsGPT-4.1when it comes to personalized coding. Who knew? Not all AI flexes equally... read more  

IntroducingAgent2Agentand brace yourself for the heavyweights—AWS, Cisco, Google, and a few more, are in on it. Their mission? Crafting the universal lingo for AI agents. It's called theA2A protocol. Finally, they're smashing the silos holding AI back... read more  

Metacranks up its AI antics. They've snagged former OpenAI whiz kids, snatched 49% ofScale AI, and roped in enough nuclear energy to keep their data hubs humming all night long... read more  

CallingLLMssentient or ethical? That's a stretch. Behind the curtain, they're just fancy algorithms dressed up as text wizards. Humans? They're a whole mess of complexity... read more  

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But it’s not all sunshine and roses—hallucination errors like to throw reliability under the bus... read more  

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more  

Supabase MCP'saccess can barge right past RLS,spilling SQL databaseswhen faced with sneaky inputs. It's a cautionary tale from the world ofLLM system trifecta attacks... read more