AprameyaAI • 1y
1. ➟ AI will replace tasks, not jobs—until it does. 2. ➟ Data is the new oil, but good luck extracting it. 3. ➟ Your AI model is only as good as your data quality. 4. ➟ Hype is rampant; actual AI deployment is rare. 5. ➟ Ethical AI is important, but profit often comes first. 6. ➟ The tech evolves faster than regulations can keep up . 7. ➟ Bias in AI is inevitable; mitigation is crucial. 8. ➟ Most "AI-powered" products are just fancy automation. 9. ➟ Transparency in AI is demanded, yet rarely delivered. 10. ➟ Mastering AI today means staying relevant tomorrow. This all factors will make AI More powerful and our so called "skill" replaceable just like a wind blow soon!
Passionate about Pos... • 5m
AI-powered search engine Perplexity has acquired Read.cv, a professional networking platform. Read.cv will wind down operations by May 16, allowing users to export data. The Read.cv team will join Perplexity to enhance social and consumer experie
See MoreHey I am on Medial • 8m
hi friends DATA ANALYST, works on tableau give me a solution, while fetching a data from live DB , it takes a amount of time it's okay . But , while changing a filter or adding a row takes almost 15 to 30 mins to load the data to the TABLEAU is there
See MoreBeing not creating • 3m
There is no way AI can develop more. Elon Musk fed all of the data on grok 3 and there is no more data left. Yes AI can develop how to talk like a human. but is this really what we wanted? So the future development of AI is as follows the existing AI
See More| Technologist | ML ... • 4m
Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr
See MoreBuilding SwapEat | I... • 1y
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
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