GPTs: Customized version of ChatGPT for Professional Use

Explore how to add text files and pdfs to a custom gpt, and compare three setups: pdf-only, pdf plus pre-training, and pdf with web access for unanswered queries.

Set up a GPT with pdf knowledge using the create and configure tab and upload a pdf to generate brief summaries from the document and note information not available.

Test and fine-tune the GPT to answer only from the provided pdf, distinguishing questions answerable from those beyond the document and refining instructions to avoid adding non-pdf knowledge.

Explore retrieval augmented generation with GPTs, combining PDF-based knowledge, pre-training, and optional web access to answer questions beyond the document.

Discover attaching csv or excel data to a custom gpt knowledge, interact with it, and compare dolly, code interpreter, and web browsing for analysis, visualizations, and predictive modeling.

Generate data visualizations with a customized gpt by creating a genre-wise pie chart using Python, then tailor titles and color schemes via prompts and copy the images into presentations.

Build a customized GPT that turns natural language into SQL queries from a dataset snapshot, helping analysts and managers generate and debug genre-based aggregations.

Train a linear regression predictive model by uploading the movie collection data set to knowledge, then make predictions from test data. Preprocess, train, evaluate with mean squared error and r-squared.

Explore image-based gpts that analyze images for text, render images from text with DALL-E, or modify images per instructions, with demonstrations of text extraction and a five-year-old story.

Test Dall-E based image generation with a custom GPT that creates logos from a user-provided business name, domain, and description, generating multiple designs and color explanations using the Dolly model.

Examine how customized GPTs handle image inputs and why they often generate new images with DALL-E instead of editing the original, highlighting current modification limitations.

Enable web browsing to fetch real-time data with a custom GPT. Base responses on live web pages, like Apple on Nasdaq and Tata Steel on NSC, showing latest prices.

Enable a GPT to answer user queries based on information from a specific webpage using web browsing, ensuring responses reflect the latest page content.

Understand how actions enable GPTs to interact with APIs and apps, from grocery orders to smart homes. Learn to build GPTs that automate calendars, emails, databases, and workflows via Zapier.

Learn how to build a custom GPT with actions that answer from a PDF knowledge base, collect user contact info when unavailable, and auto-create Google Sheet rows via Zapier.

Test actions by signing in to the endpoint, granting permissions, and confirming details stored in a sheet. Explore using Zapier to connect apps like Google Sheets and Google Calendar.

Publish your GPT by choosing visibility options: only me, anyone with a link, or everyone, then select a category and complete the profile to pass OpenAI's primary check.

Celebrate reaching the final milestone by completing all lectures to earn your certificate of completion, downloadable to your email or from the platform, and share a review to motivate others.