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So guys I need help . I am trying build my career in AI and have learned basic DSA using and python . Should I go deeper in DSA or continue learning AI

AI is transforming various industries, from healthcare to finance. Did you know that AI can analyze vast amounts of data and make predictions with a high degree of accuracy?

I had been thinking about this. The growth and use of AI has been very very high past few years. And company are developing more advanced AI models and soon we may get AGI. But don't you think this is too much risk and it should be regulated. T

Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.

how to connect ai models with your own softwares or tools? The answer is mcp servers The Model Context Protocol (MCP) is an open standard that enables AI models to securely access data and tools through standardized servers. MCP servers facilitate

What is the difference between data scientist, data engineer, data analyst and business intelligence? 🧑🔬 Data Scientist Focus: Using data to build models, make predictions, and solve complex problems. Cleans and analyzes data Builds machine learn

How RAG Gen AI Helps Businesses Retrieval-Augmented Generation (RAG) enhances AI by combining real-time data retrieval with generative models, making it highly effective for businesses. Key Benefits: Better Decision-Making – Provides real-time ins

Breaking News: MIT researchers, in collaboration with IBM and other institutions, have explored techniques such as deductive closure training, where AI models screen their own outputs for inaccuracies and contradictions, acting as both student and te