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Hello everyone Learned the basics of hypothesis testing today — Z-test, T-test, p-value calculation, and significance level. Understanding how statistical decisions are made using data, not assumptions. Rejection region method ,uses of z table an

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! ⬇️

Are you still writing test cases from scratch every sprint? If your team’s staring at hashtag#PRDs and manually crafting test cases, you’re burning hours OopsBot can save! Here’s how: - OopsBot reads your docs - Flags edge cases - Auto-generates

India’s biggest AI drop so far 🇮🇳 Introducing Sarvam-30B and Sarvam-105B frontier LLMs built from India, for India. Sarvam-30B • 30B parameters (MoE) • 1B active params/token • 32K context window • Trained on 16T tokens • Competitive with Gemma-

"Save this" Some of these sites will help you to try and test the premium models of the popular ai models like Chat GPT and Claude LM Arena Groq Cloud Open Router

Why we don't have something like this in India? Context raises $11M to launch the world's first AI-native office suite at a $70M valuation. The platform automates document creation, presentations, and spreadsheets using your data and tools, target

I made all of this with NoCode tool https://bolt.new Test URL: https://jovial-cranachan-c50336.netlify.app/ Will make it more complex with more updates later

As The Data thing is growing ( context: giants are buying Data of users ) so opportunities on data science will be increasing soon and demand will increase soon as I feel. for example data analyst, data engineer, data scientist, etc. I think it's

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