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Building “Auto-Analyst” — A data analytics AI agentic system

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  

Building “Auto-Analyst” — A data analytics AI agentic system
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Google Cloud donates A2A to Linux Foundation- Google Developers Blog

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  

Google Cloud donates A2A to Linux Foundation- Google Developers Blog
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The Portable Memory Wallet Fallacy: 4 Fundamental Problems

Portable AI memory pods hit a brick wall—vendors cling to data control, users resist micromanagement, and technical snarls persist.So, steer regulation towards automating privacy and clarifying transparency. Make AI interaction sync with how people actually live... read more  

The Portable Memory Wallet Fallacy: 4 Fundamental Problems
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‘Shit in, shit out’: AI is coming for agriculture, but farmers aren’t convinced

Aussie farmers want "more automation, fewer bells and whistles"—technology should work like a tractor, not act like an app:straightforward, adaptable, and rock-solid... read more  

‘Shit in, shit out’: AI is coming for agriculture, but farmers aren’t convinced
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MCP — The Missing Link Between AI Models and Your Applications

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  

MCP — The Missing Link Between AI Models and Your Applications
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LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI

Dump BLEU and ROUGE. Let LLM-as-a-judge tools like G-Eval propel you to pinpoint accuracy.The old scorers? They whiff on meaning, like a cat batting at a laser dot.DeepEval? It wrangles bleeding-edge metrics with five lines of neat code.Want a personal touch? G-Eval's got your back. DAG keeps benchm.. read more  

LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI
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Automatically Evaluating AI Coding Assistants with Each Git Commit ¡ TensorZero

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  

Automatically Evaluating AI Coding Assistants with Each Git Commit ¡ TensorZero
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Document Search with NLP: What Actually Works (and Why)

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  

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Supabase MCP can leak your entire SQL database

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  

Supabase MCP can leak your entire SQL database
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A non-anthropomorphized view of LLMs

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  

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