AI workshop by Mahith. Master Prompt Engineering & Essential Tools for 10X Productivity скачать в хорошем качестве

AI workshop by Mahith. Master Prompt Engineering & Essential Tools for 10X Productivity

ITeLearn.com This expert AI workshop, presented by Mahith, is designed to help students, developers, employees, and entrepreneurs leverage Artificial Intelligence to multiply their productivity. The session begins by tackling common AI Myths vs. Facts. We learn that AI does not possess emotions or consciousness like humans; instead, it predicts answers by extracting patterns from trained datasets. We also discuss the truth about AI taking jobs: AI itself won't replace you, but rather, humans who can use AI better than you will. AI is already widely used in daily apps like Gmail (spam filters), Netflix (recommendations), and Google Maps (route predictions). Mastering Prompt Engineering The core of the workshop focuses on Prompt Engineering, which is essential for making AI work effectively. Mahith introduces the well-known Prompt Formula, comprising four crucial stages: 1. Role: Specifying the AI's professional identity (e.g., a marketing strategist or UX developer). 2. Task: Stating precisely what you want the AI to do (e.g., drafting a social media post or building a web page). 3. Direction: Providing specific instructions (e.g., styling, tone, or constraints). 4. Data: Supplying context, background information, and examples. The workshop details various advanced Prompting Techniques: • Zero-Shot, One-Shot, and Few-Shot Prompting. • Chain of Thought Prompting, which influences the AI to solve problems step-by-step. • Iterative Prompting (standard conversation where the output is continuously refined). • Negative Prompting, instructing the AI on what not to do (e.g., "do not bring any error quotes" or "do not assume anything"). Essential AI Tools for Every Domain Mahith explores several AI tools, emphasizing that while many tools offer the same functionality, each shines in a specific use case: Category Tool Name(s) Primary Use Case/Capability Source General/Coding ChatGPT General purpose General/Coding Claude Good for detailed prompts and coding; finished many projects Research Perplexity Research purposes; it cites all resources (web pages, PDFs) used for its answers Students Notebook LM Reads PDFs/notes; generates flashcards, reports, mind maps, and quizzes based only on the uploaded document Students/Work Notion An all-in-one suite (like docs, Excel, slides) with integrated AI features for learning, notes, and CRMs Entrepreneurs Canva Designing social media posts and templates using AI Entrepreneurs Eleven Labs Text-to-speech engine for generating audio from text, including specific cues like smiles or whispers Developers (Agentic AI) GitHub Copilot Code generation (trained on public GitHub repositories) Developers (Agentic AI) Cursor Uses ChatGPT and Claude; identifies issues and fixes code directly in an agentic mode Developers (Agentic AI) Augment Similar to Copilot, a paid platform that uses ChatGPT and Claude The session includes a hands-on project where the audience follows the Prompt Formula to generate a complete, visually appealing e-commerce website component using React and Tailwind CSS. Final Insight: True mastery of AI comes from experimenting and using the tools in multiple iterations.