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@faun shared a link, 22ย hours ago

โ€˜Shit in, shit outโ€™: AI is coming for agriculture, but farmers arenโ€™t convinced

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

โ€˜Shit in, shit outโ€™: AI is coming for agriculture, but farmers arenโ€™t convinced
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@faun shared a link, 22ย hours ago

Building โ€œAuto-Analystโ€ โ€” A data analytics AI agentic system

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But itโ€™s not all sunshine and rosesโ€”hallucination errors like to throw reliability under the bus...

Building โ€œAuto-Analystโ€ โ€” A data analytics AI agentic system
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@faun shared a link, 22ย hours ago

Context Engineering for Agents

Context engineeringcranks an AI agent up to 11 by juggling memory like a slick OS. It writes, selects, compresses, and isolatesโ€”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..

Context Engineering for Agents
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@faun shared a link, 22ย hours ago

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...

Supabase MCP can leak your entire SQL database
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@faun shared a link, 22ย hours ago

The Portable Memory Wallet Fallacy: 4 Fundamental Problems

Portable AI memory pods hit a brick wallโ€”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...

The Portable Memory Wallet Fallacy: 4 Fundamental Problems
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@faun shared a link, 22ย hours ago

MCP โ€” 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..

MCP โ€” The Missing Link Between AI Models and Your Applications
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@faun shared a link, 22ย hours ago

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..

LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI
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@faun shared a link, 22ย hours ago

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...

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@faun shared a link, 22ย hours ago

Building tiny AI tools for developer productivity

Tiny AI scripts won't make you the next tech billionaire, but they're unbeatable for rescuing hours from the drudgery of repetitive tasks. Whether it's wrangling those dreadedGitHub rollupsor automating the minutiae, these little miracles grant engineers the luxury to actually think...

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@faun shared a link, 22ย hours ago

From Big Data to Heavy Data: Rethinking the AI Stack

Savvy teams morph dense data into AIโ€™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..

From Big Data to Heavy Data: Rethinking the AI Stack
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