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In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

What are the possible ways to collect data to train AI for emotional Intelligence or any kind of emotional influence to its architecture, We all know it is possible but how?

“Don’t be a slave to stupid rules.” 1. We're easier to control with more stupid rules 2. Most rules are useless because there’s always people that can get around them Instead, challenge the rules. - Jordan Peterson

A Question to ChatGPT & Grok. Should users get paid for the user data that is used to train them?

Want to train your own llm with data ? Say no More Y'all c4Ai is here!!!! It's an an open-source web crawler and scraper built specifically for Large Language Models (LLMs). It’s designed to help developers and researchers collect diverse datasets

Traditional Layer 1 blockchains struggle with storing real-world files on-chain storage is often costly, slow, and limited in capacity. Most weren't built for dynamic content at scale. Xenea changes that. By integrating a Layer 1 blockchain with dec

Have you wondered how much late can a train be? well this event happened in India where a goods train carrying fertilizers was scheduled to reach its destination in about 48 hours Instead the train took approx 4 years to reach it's destination, yes

Breaking News: My AI just fired me. Apparently, I wasn’t “data-driven” enough, didn’t “scale,” and failed to “synergize with the cloud.” Meanwhile, it’s holding meetings with itself, automating my calendar, and pitching VCs on a startup called “Hum