ChatGPT, Gemini & Prompt Engineering | ChatGPT inside Excel

Explore how generative AI fuels ChatGPT, define strong AI as artificial general intelligence and artificial superintelligence, and contrast with weak AI driven by pattern recognition, machine learning, and deep learning.

Explore the difference between generative ai and large language models, and see how ChatGPT uses a transformer-based large language model with billions of parameters to generate human-like text.

Explore ChatGPT and Google Gemini, login, prompts, and features like dictation, voice personas, and chat projects, then apply prompts for resumes, job search, and reports with canvas and think longer.

Discover Google Gemini's standout features, including the canvas editor and infographic resume. Generate cover letters, elevator pitches, interview questions, and web pages with deep research.

Explore how ChatGPT and Google Gemini generate multi-language code, preview web apps, and export to Colab or Repl.it, from Fibonacci in Python and C to IQR-based outlier detection.

Iterate prompts to elevate emails, turning dull drafts into clear, empathetic updates with specific details like a two-week project delay, transparency, and a revised timeline.

Explore prompt engineering as an art and science that turns prompts into brilliance through iteration, improvisation, and elevation, by asking the right questions, clarifying context, purpose, audience, and format.

Iterate prompts step by step to turn broad hotel challenges into data-driven, prescriptive insights. Focus on three-star hotels in India, with 2021 occupancy at 35% and rising cleaning costs.

Apply prompt engineering to craft engaging LinkedIn posts by adding context, audience, tone, and formatting across iterative rounds, transforming boring prompts into shareable stories.

Explore five role play prompts for ChatGPT or Google bot that simulate leaders, travel industry experts, and child-friendly explainers to analyze technology, finance, and sustainable vacation planning, including profitability.

Minimize ai hallucinations by verifying sources, demanding disclosures when information is unavailable, and using prompt engineering to tailor outputs for accuracy and clarity in moments of truth.

Explore nano banana, Google's Gemini image editing tool, and learn prompt engineering to generate photorealistic, Vogue-like runway images from a reference photo, with video options on the pro plan.

Generate a cartoon character from an image using a five stage prompt framework. Craft detailed, unambiguous prompts that define the subject, attributes, style, environment, and high-resolution output for corporate use.

Learn to add accessories to an image with realistic portrait prompts specifying blue checked shirts, grey blazers, and black Ray-Ban sunglasses, using controlled lighting and feedback for a polished result.

Explore timeline therapy techniques to talk to your younger self, visualize empowering futures, and reframe beliefs through prompts and prompt engineering with tools like nano banana.

Generate a lip sync video from a reference image of a speaker at a podium with formal attire and lighting. Learn how prompts with ChatGPT balance realism, context, and clarity.

Create a bold Vita Bolt logo and product mockup, using electric green and lightning yellow, then craft a high-energy ad concept around the Vita Volt charge your day message.

Create a cinematic lion shoot at dawn, blending a roaring lion against ancient ruins while translating narration into a structured JSON prompt for precise, reusable production notes.

Explore how to analyze telecom customer churn using descriptive statistics, histograms, and correlation, evaluating new vs old customers, kltv, and reasons like competition and service attitude.

Explore customer segmentation and personas using a four-cluster k-means analysis on age, income, and spending score, encoding non-numeric data, to derive targeted marketing strategies for distinct customer segments.

Build a machine learning model for insurance charges with ChatGPT, using multiple linear regression, descriptive statistics, Python code, and heatmaps to assess performance.

Create a web-based machine learning app with streamlit to generate a word cloud from blog text, guided by chat GPT code and a local host deployment.