Unveiling ChatGPT: A Practical Adoption Strategy

Note: This is last of three parts series, summarizing what I learned from the sidelines of AI & ML technologies. As a reader this can be your simple get started guide. Needless to say, I have used Gen-AI tech in putting this together.

Read Part One here: Unveiling Gen AI: Bridging Statistical Analysis with Artificial Intelligence

Part two: Unveiling ChatGPT: Revolutionizing AI Applications

Lots of companies are getting excited about using AI. But sometimes they're just adding it to everything without really thinking about whether it's actually solving a problem. This often leads to failed attempts. They're caught up in the hype and not using AI to its full potential. But, hey, we can learn from these mistakes.

If you want to make a really good AI program or test it out (POC), here's what you should do:

1.????? Define Your Use Case: Figure out what problem you're trying to solve.

2.????? Evaluate Out-of-the-Box (OOTB) Models: See if a ready-made model will do the job quickly. But remember, it might not be tailored to your specific company data.

3.????? Train and Use OOTB Models with Prompt Engineering: Train the ready-made model and give it specific inputs to get the outputs you want. This involves structuring your inputs to guide the model to the desired results.

4.????? Customize Your Model: If needed, tweak the model to fit your own data. You don't have to start from scratch—there are providers like Microsoft who offer pre-made models that you can adapt to your needs. But be ready to invest time and resources into this.

5.????? Purposeful Models for Specific Needs: Some companies are creating models tailored for specific purposes, and others are licensing these models for their own products and services.

For those diving into Gen AI capabilities:

• Start by brainstorming ideas and focus on what will bring the most benefit and change, aligning with your company's goals.
• Pick one or two ideas from the brainstorming session that seem feasible and offer real business value for your Gen AI pilot.
• Set clear success criteria for these pilot projects and have a plan to test the outcomes. Don't forget to identify and assess any risks before putting the solution into action.

Remember, AI is powerful, but we need to use it responsibly. That means setting policies for its use and making sure there are checks and balances in place.