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LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance

I’m always amazed at how many people stay stuck in analysis paralysis. I speak with entrepreneurs every week, and the same story plays out: "I’m doing research... I’m planning... I’m thinking about it." Here's the truth: The best information c

My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst

Fashion Industry Analysis: Casual Brands & Merchandising Mix 🚀 1. Industry Trends : -Athleisure boom: Comfort + style = winning combo. -Sustainability: Eco-friendly fabrics on the rise. -Digital-first: D2C brands disrupting traditional retail. 2.

🌟 New Medium Article for Developers! 🚀 If you're a developer working with FlutterFlow and encountering issues with Google Sign-In on Android APKs (not redirecting after pressing the button in production mode but working fine in test mode), this gui

Traditional retailers take months to bring new styles to market. But Zara does it in just 2 weeks. Here's how their lightning-fast supply chain transformed fashion retail: Traditional fashion stores made clothes months in advance, guessed what peo

My Plan is a create a new clothing brand jo Mede in india hoga kyuki Clothing ki jarurat kabi komta nehi isliye mere ko Fund chahiye. 1.Apko koi fund kyu karega ? Kyuki mere ko ek Clothing brand banani hai mede in India kyuki Clothing ochis jika jor

BitShift Technologies Slogan: "Shifting Bits, Powering Innovation." Investor Pitch Presentation The Challenge: Retailers and restaurants struggle with managing multi-store billing, sales tracking, and tax reporting efficiently. Current Pain Points

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s