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ICE Scoring Framework Impact × Confidence × Ease ^Purpose: The ICE Scoring Framework helps teams prioritize features, growth initiatives, or experiments by evaluating their potential value and implementation effort. ^Application: Score each idea

3 transformer architectures everyone should know. I've explained it in a simple way below. 1. 𝗗𝗲𝗰𝗼𝗱𝗲𝗿-𝗢𝗻𝗹𝘆 𝗠𝗼𝗱𝗲𝗹𝘀 These are mainly used for 𝘁𝗲𝘅𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (like ChatGPT). They predict the 𝗻𝗲𝘅𝘁 𝘁𝗼𝗸𝗲𝗻 𝘀𝘁𝗲𝗽

Prompt vs Context vs RAG. I've explained it in a simple way below. 1. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 Prompt Engineering is about 𝗰𝗹𝗲𝗮𝗿 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀, not magic words. • 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗳𝗶𝗻𝗮𝗹 𝗴𝗼𝗮𝗹: What exactly do

If you're building anything in AI, these matter a lot. I've explained in simple below. 1. 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰𝘀 Create structured meaning so AI understands context clearly. Instead of raw text, information is organized with relationships and concepts.

Most people don't even know these basics of LLM's. I've explained it in a simple way below. 1. 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 LLMs are trained on massive amounts of text from books, websites, articles, and documents so they can learn how language is

Your AI sucks because it’s stuck at Level 1. You can easily take it to Level 3. I've explained below. 𝗦𝘁𝗲𝗽 1 – 𝗕𝗮𝘀𝗶𝗰 𝗟𝗟𝗠 (𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴) • This is the simplest level of AI systems. • You give input text or a docu

Most people even today don't know these skills. I've explained in very simple below. 1. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 Learning how to give clear, structured, and goal-driven instructions to AI models to get accurate and useful outputs. Eg: Ch