ChatGPT is revolutionizing the panorama of synthetic intelligence capabilities. The newest cheat sheet serves as a priceless useful resource, providing steering on 10 participating hands-on initiatives that showcase the potential of leveraging ChatGPT in varied information science purposes. These initiatives span a variety, from crafting AI assistants and internet purposes to producing PowerPoint displays, offering sensible demonstrations in machine studying, pure language processing, and full-stack improvement.
The cheat sheet contains tutorial hyperlinks for every undertaking, providing complete step-by-step directions on harnessing ChatGPT’s conversational prompts. Notable initiatives embody using ChatGPT for duties comparable to a mortgage approval classifier mannequin, resume parsing, real-time language translation, exploratory information evaluation, and seamless integration with Google Sheets. Whether or not you’re a newcomer to ChatGPT or aiming to discover its superior purposes, this compilation of initiatives serves as a priceless start line to boost productiveness and expedite AI-assisted improvement.
That includes code examples in Python, React, and varied different languages, these thoughtfully curated initiatives provide an immersive alternative to discover ChatGPT’s capabilities by hands-on experimentation. They function a superb means to enhance theoretical understanding with sensible proficiency. As ChatGPT undergoes fast development, assets like this cheat sheet develop into invaluable references for information scientists, enabling them to harness its potential and seamlessly combine AI into their work processes. This information is a necessary useful resource for any practitioner searching for to raise their ChatGPT expertise.
Listed below are the ten curated ChatGpt hands-on initiatives to spice up information science workflows with ChatGPT throughout ML, NLP, and full stack dev, together with hyperlinks to full undertaking particulars.
1. Mortgage Approval Classifier
Be taught to completely leverage ChatGPT’s AI capabilities to spice up productiveness throughout the info science undertaking workflow – from planning to deployment. This sensible information will train you the way to write prompts that maximize ChatGPT’s potential for outlining, analyzing, growing, and deploying the Mortgage Approval Classifier mannequin.
Hyperlink to the undertaking: https://www.datacamp.com/tutorial/chatgpt-data-science-projects
2. Build up a Resume parser with ChatGPT
We are going to use LangChain, to streamline the event of Language Mannequin-powered purposes. You’ll use LangChain to name the OpenAI API and instruct GPT to format the info in response to the YAML template.
Hyperlink to the undertaking: https://seeai.hashnode.dev/transforming-unstructured-documents- to-standardized-formats-with-gpt-building-a-resume-parser/
3. Language Translator
The objective of the Language Translator undertaking is to create a web-based translation app utilizing ChatGPT for the interpretation capabilities and Streamlit for constructing the net interface. Customers will have the ability to enter textual content in a single language and have it translated to a different language in real-time.
Hyperlink to the undertaking: https://blog.devgenius.io/how-to-build-a-language-translation- web-app-with-chatgpt-and-streamlit-e9fc399fbb75/
4. PowerPoint Presentation
The PowerPoint presentation undertaking goals to automate the creation of displays from lengthy textual content passages by utilizing ChatGPT. The system permits customers to enter textual content content material, sends it to ChatGPT API to generate a summarized bullet level checklist, then converts the important thing factors into PowerPoint slides utilizing Python’s PPTX library.
Hyperlink to the undertaking: https://www.kdnuggets.com/2023/08/chatgpt-convert-text- powerpoint-presentation.html/
5. Minimal Voice Assistant
The undertaking goals to construct a fundamental voice-controlled AI assistant utilizing Python. It should use Speech Recognition to pay attention instructions and convert them to textual content. This article is going to be despatched to ChatGPT API to generate pure language responses. The responses will then be transformed again into speech utilizing pyttsx3 text-to-speech performance.
Hyperlink to the undertaking: https://github.com/reese3222/nanoassistant/
6. Knowledge Science With Code Interpreter
The undertaking explores how ChatGPT’s new Code Interpreter plugin can be utilized to streamline and automate widespread information science workflows. Code Interpreter can summarize information, carry out exploratory evaluation, preprocess datasets, construct baseline machine studying fashions, and clarify code.
Hyperlink to the undertaking: https://www.kdnuggets.com/2023/07/chatgpt-code-interpreter- data-science-minutes.html/
7. To-Do Software
The To-Do Software undertaking explores utilizing ChatGPT to generate a fundamental to-do internet app with React, Subsequent.js, and Firebase integration. The goal is to evaluate how effectively ChatGPT can produce purposeful code for a easy CRUD utility based mostly on conversational prompts.
Hyperlink to the undertaking: https://blog.bitsrc.io/i-asked-chat-gpt-to-build-a-to-do-app-have-we- finally-met-our-replacement-ad347ad74c51/
8. Exploratory Knowledge Evaluation
The undertaking demonstrates utilizing ChatGPT to carry out an end-to-end exploratory information evaluation on a textual content dataset. It reveals how ChatGPT might be prompted to plan the evaluation, clear the info, analyze distributions of key variables, make use of NLP methods, visualize findings, and summarize insights.
Hyperlink to the undertaking: https://towardsdatascience.com/my-first-exploratory-data-analysis- with-chatgpt-7f100005efdc/
9. Full Stack Software
The undertaking demonstrates creating an end-to-end internet utility leveraging ChatGPT for accelerated improvement. It entails constructing an academic app that makes use of ChatGPT for code help, finest practices, and troubleshooting all through the complete stack improvement course of.
Hyperlink to the undertaking: https://www.freecodecamp.org/news/build-a-full-stack-application- using-chatgpt/
10. ChatGPT with Google Sheets
The undertaking demonstrates integrating ChatGPT capabilities into Google Sheets for simple entry by customized formulation and menu features. It entails utilizing Google Apps Script to fetch responses from the ChatGPT API to summarize or simplify textual content from spreadsheet cells.
Hyperlink to the undertaking: https://www.freecodecamp.org/news/create-chat-gpt-formulas-in- google-sheets/
10 ChatGPT Tasks Cheat Sheet
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