Top Eight GPT-4 Productivity Use Cases for Coders (No BS)

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Everybody now uses large language models (LLMs) like GPT-4. Still, I realized that many reported “use cases” are actually not that useful or can be performed more efficiently with other non-LLM tools.

This article explores some of these proven “No BS” productivity use cases for GPT-4, as discussed by various contributors in the OpenAI forum, other online resources, and my own experience as a developer. πŸ‘©β€πŸ’»

Proven Use Case 1 – Brainstorming

GPT-4 can generate a myriad of ideas around a specific topic, so it can assist in brainstorming sessions, generating creative suggestions, solutions, and even asking stimulating questions that can lead to innovative ideas.

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πŸ‘©β€πŸ’» Example Prompt: 

Generate some creative marketing strategies for launching a new vegetarian restaurant in a predominantly meat-eating neighborhood.

Proven Use Case 2 – Learning/Education

In the field of education, GPT-4 can be a valuable tool for both educators and students.

It can assist in explaining complex concepts in simpler terms, answering student queries, and providing detailed explanations for academic topics.

It can also help in generating learning materials, such as summaries, flashcards, quizzes, etc.

πŸ‘©β€πŸ’» Example Prompt: 

Explain the theory of relativity in simple terms suitable for a high school student.

Proven Use Case 3 – Glue Code Generation

The ability to generate glue code (code that connects different parts of a program) is another use case where GPT-4 shines.

This can be especially useful when the objective is to link distinct software components or systems.

While GPT-4 can generate glue code, it might not be the best solution for generating complex, high-performance code. To use APIs, for example, you may want to check out specific tools such as Gorilla: πŸ‘‡

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πŸ‘©β€πŸ’» Example Prompt: 

Generate a Python script to read a CSV file and store the data into a MySQL database.

Proven Use Case 4 – Document/Code Review

GPT-4’s capabilities can be employed for reviewing documents and code. The AI can help identify potential issues, propose improvements, and even help annotate and clarify confusing sections.

However, while it can be a useful aid, it isn’t a replacement for a human reviewer who brings a broader understanding and context. Human editing and proofreading is key if you want to be an efficient “prompt engineer“!

πŸ‘©β€πŸ’» Example Prompt: 

Review the following Python code for potential improvements or bugs: [insert code here].

Proven Use Case 5 – Data Annotation

GPT-4 can also be used to annotate data, a crucial step in preparing data for machine learning models. By automating this process, companies can save significant time and resources.

πŸ‘©β€πŸ’» Example Prompt: 

Annotate the following sentences for part-of-speech tagging: 'The quick brown fox jumps over the lazy dog.

Proven Use Case 6 – Language Translation

An interesting use case highlighted by a user was the use of GPT-4 in porting code from one language to another.

Many developers report a significant reduction in time spent porting a project from TypeScript to Python, attributing this efficiency to the language proficiency of GPT-4.

πŸ‘©β€πŸ’» Example Prompt: 

Translate the following JavaScript function into Python: [insert JavaScript function here].

Proven Use Case 7 – Querying Databases

In the realm of sports analytics, GPT-4 was effectively used to query numerical databases, making it easier for a manager to search for players based on specific statistics. This functionality was also extended to generating visual representations like maps and graphs.

πŸ‘©β€πŸ’» Example Prompt: 

Query the football database to find the top 5 players in terms of goals scored in the 2023 season.

Proven Use Case 8 – Enhancing Customer Relationship Management (CRM) Tools

A very common use case is to use GPT-4 to simplify user interactions with CRM tools. Instead of navigating through a complex dashboard, users could just provide a prompt to GPT-4 like “Give me the top 10 best leads” and it would generate a detailed report accordingly.

πŸ‘©β€πŸ’» Example Prompt: 

Give me a list of the top 10 customers who have made the most purchases in the last 6 months.

I advocate for a balanced approach where AI augments human capabilities rather than replacing them entirely.

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