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Day 21: Decoding Startup Funding in Bangalore: A Deep Dive Content: Securing funding is crucial for any startup's growth. Let's delve deeper into the Bangalore startup funding landscape: * Understanding Investment Stages: Seed funding, angel

🚀Hey Developers & Founders, What Tech Stack Would You Choose? If you're building a web-based startup app, what would you use? 🤔 I’m deciding between different approaches and need your input! Here are the options: 1️⃣ Basic Frontend + Backend – (

Jensen Huang, the CEO of NVIDIA, describes how AI is advancing in three key dimensions: 1. Pre-training: This is like getting a college degree. AI models are trained on massive datasets to develop broad, general knowledge about the world. 2. Post-

As in the yesterday's post I discussed about the AI influenced and constantly evolving SEO scenario. This post is a continuation of that, where we'll discuss some possible approaches. 1. Writing With Clarity: AI is highlighting content that ans

If you ask me what Snippetz Labs is — yeah, we build apps. But let’s be honest, there are a million apps out there. What makes us different? Why do over 20,000 people choose our product over the rest? Simple: design. Our app follows a brutalist-mini

10 Pro Techniques of prompt engineering for Lovable 1. Structured Prompts: Break your prompt into clear sections: Context, Task, Guidelines, and Constraints. Label each section explicitly for clarity. 2. Specificity and Detail: Clearly descr

The 5A Automation Audit: Of late, I have been seeing numerous posts where managers talk a lot about reducing team size because automation can take over. The idea looks efficient on paper, but I have also seen and read about teams losing stability an

Bouncing into Fun: A Guide to Enjoying Block Breaker, https://blockbreaker.lol Block Breaker, in its simplest form, is a game about destruction and precision. It’s a classic for a reason, offering an engaging loop of action and reaction that can be s

4 different ways of training LLM's. I've given a simple detailed explanation below. 1.) 𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗖𝘂𝗿𝗮𝘁𝗶𝗼𝗻 (𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽) Prepares clean, consistent, and useful data so the model learns effectively. 1. Collect text

Difference between previous llms(gpt4o/claude 3.5 sonnet/meta llama)  and recent thinking/reasoning llms(o1/o3) Think of older LLMs (like early GPT models) as GPS navigation systems that could only predict the next turn. They were like saying "Base