ChatGPT Bootcamp: The Complete Guide

Set up your ChatGPT account by signing up, verifying your email and phone, and logging in. Explore the user interface and organize chats by topic to streamline conversations.

Explore how to write effective prompts with ChatGPT using built-in examples, generate concepts and code snippets, and discover five indoor activities for a high-energy dog.

Discover the ChatGPT 3.5 user interface, create chats, compare GPT 3.5 and GPT four, and use custom instructions, themes, data controls, shared links, and export options.

Master prompt design and engineering to boost model accuracy by crafting well-defined prompts and avoiding bad prompts, while exploring zero-shot, one-shot, and few-shot learning in transformer models.

Compare poorly defined prompts to specific, scenario-based prompts and see how clarity guides outputs. The dog day example shows morning to bedtime prompts and hints at few shot learning.

Explore zero-shot, one-shot, and few-shot learning to tailor prompt-driven responses. Compare how prompts guide tasks from no examples to a single example and multiple samples.

Explore zero-shot, one-shot, and few-shot learning in ChatGPT with practical movie recommendation examples, illustrating how prompts shape outputs and the role of training data.

Design a tweet sentiment classifier with one or few shot prompts, using templates and examples to classify tweets as neutral, negative, or positive.

Explore building a tweet sentiment classifier by crafting precise prompts, using examples and one-shot learning, and ensuring the model outputs only sentiment labels (positive, neutral, negative).

Discover how to create new lines in the message tab with shift+enter, avoiding auto-send. Use this to compose multi-line questions and answers in chat conversations.

Master five well defined prompt principles—clarity, conciseness, focus, consistency, and acting as a powerful persona—to craft clear, concise prompts that elicit precise ChatGPT responses.

Design a prompt for ChatGPT to act as an interviewer, asking concise questions one by one, enabling mock data science interviews with invoice entity extraction using OCR, OpenCV, and LLMs.

Learn to avoid information overload, vague open-ended questions, and lack of constraints when designing prompts by specifying clear constraints and a desired format.

Discover how ChatGPT boosts day-to-day productivity by generating emails, blogs, and content, while summarizing and organizing information and adapting material for different audiences.

Use ChatGPT as a daily assistant to manage tasks, streamline emails, and summarize content. Learn to design prompts that convert emails like monthly reports into readable tables.

Learn to extract email content and convert it into a structured table using ChatGPT, creating CSV outputs with serial number, description, and value, while cleaning numbers for spreadsheet use.

Explore generating emails with ChatGPT, including drafting professional sick leave emails, concise wording, audience-specific styles, and optional humor, with prompts and word-limit controls.

Generate email summaries and action items with ChatGPT, then compose a professional responding email that addresses feedback and timelines.

Learn to generate PowerPoint content outlines with ChatGPT and convert them into PowerPoint via prompts and VBA, covering a 6-7 slide deck on ChatGPT and OpenAI models for business.

Learn to create a PowerPoint presentation with ChatGPT using VBA macros, including an introduction to ChatGPT, its history, evolution, practical uses, future, and ethical challenges.

Learn to generate a full blog post with chatgpt by building outlines, using generated knowledge prompting, and crafting prompts for a hyderabad biryani blog, including adding company information.

Explore how chargeability improvises writing by revisiting existing text for different audiences. Draft tailored webinar emails, optimize subject lines, and translate content for undergraduates and executives.

Discover how ChatGPT serves as a developer's daily assistant, generating, optimizing, and debugging code, creating documentation, translating between languages, and boosting coding productivity across languages like Python, JavaScript, and SQL.

Demonstrate code generation with ChatGPT by building a Python calculator, then convert it into a Calculator class with add, subtract, multiply, and divide methods.

Explore how ChatGPT optimizes Python code by replacing loops with built-in filters, speeding up processing of large lists and reducing execution time for millions of records.

Explore how ChatGPT explains and debugs errors, like a key error in a pandas dataframe caused by case-sensitive column names, and learn to provide error details for correct solutions.

Learn to fix logic in Python by correcting the average calculation, ensuring (a + b) / 2 is computed with proper parentheses, and demonstrate debugging with ChatGPT.

Learn how to document code with ChatGPT, using docstrings to explain functions and classes, and generate accessible Python documentation for operations like add, subtract, multiply, divide, and Fibonacci.

Translate code across languages by converting a calculator from Python to JavaScript while preserving logic. See how ChatGPT translates code between languages and generates code in multiple languages.

Learn how chain-of-thought prompting divides problems into steps to boost reasoning. Contrast it with standard prompting and see results on GSM eight K math word problems and swamp.

Explore zero shot chain of thought prompting by adding let's think step by step to prompts, boosting model reasoning and accuracy.

Explore zero short chain of thought prompting and plan and solve prompting, showing how thinking step by step, then planning and solving, improves reasoning in LLMs.