Do You Do Things Faster and Better with AI?

AI has become a critical tool for productivity. This applies to both businesses and individuals. One of the reasons for this is personalized solutions. People and businesses want something very specific for them. Generic solutions are no longer an option in the marketplace.

The most popular way to achieve this is fine-tuning large language models (LLMs) like GPT-4. The process is simple and the results are powerful. This saves you money and time. Both commodities, I'm sure you will appreciate.

So here's what I leave you with:

Fast and affordable customization

Customization for specific needs

Enhanced model performance

Fast and Affordable Customization

Training an AI model takes a lot of time and money. OpenAI spends $78 million to train GPT-4. This amount is insane and most entities can't afford it.

Thus, you can use a pre-trained model like GPT-4 and fine-tune it. There are several ways you can do this. You can run queries through GPT-4 and ask specific questions. You can also upload datasets to it related to the solution you seek. You can always come back to continue to teach it.

I do prefer creating my own GPT instead. This way I can tell it to focus on the parameters I set. I can also upload the specific dataset I want the model to learn.

Here's a short list of the different types of formats you can upload:

• Text files (TXT)
• Comma or tab-separated values (CSV/TSV)
• JavaScript Object Notation (JSON)
• Extensible Markup Language (XML)
• Markdown or LaTex
• HTML
• Code files (Python, JavaScript, etc.)
• PDF
• Images with embedded text
• SQL or database dumps

I recently created a GPT for productivity and making money with AI. You can check it out here.

I used books and podcasts as a starting guide for it. I will continue to refine its knowledge as I continue to use it. I do hope you can find it valuable.

The best part about this is that I didn't spend an extra penny. It comes included with my paying membership for ChatGPT. This saves me a lot of money trying to teach a model something from scratch.

Customization for Specific Needs

You are not the same as me. Your needs are very likely different than mine. So why would you go for the same thing?

Yes, I get it. There are times when the same solution works for both of us. This is not the case 9 times out of 10, though. AI allows you to customize your solution.

Of course, it all depends on what your need is. The majority of the time it is automating repetitive tasks. These tend to also be time-consuming. Thus, you use AI to automate a workflow based on your dataset.

For example, a legal firm may want AI to handle contract analysis. To do this, the legal firm teaches the AI model all legal jargon and specific case law. Next time the legal firm uses AI for contract analysis, the model spits out the best solution.

It's up to you to ensure the information is accurate, though. The human aspect still needs to be in the loop. But you will not have to spend countless hours going through documents and data. The model can do it for you in seconds.

The more you use the model and the more you correct it, the better it performs. And trust me, AI makes mistakes too. You can correct it, though. In doing so, you can refine its results next time.

This makes AI a powerful ally in any industry. You boost productivity, accuracy, and efficiency in daily operations. And is that not what you want?

Enhanced Model Performance

Understand that your fine-tuning of any model helps its performance in general. This means that you don't only help yourself, you help the next person using the model.

Think of this: You want the model to handle complex, domain-specific tasks. You coach it and teach it to do just that. You also taught it to speak in a certain tone. A tone that is important for customer service. A formal, casual, or highly technical tone.

Since a lot of businesses turn to AI for their customer service, this is very important. It's also very useful because the next customer could be you.

Conclusion

You and others enjoy your fine-tuning of AI models. Make no mistake about it. Whether you use it for personal or business reasons, you provide a service. This service extends to the entire community of users of that AI model.

This is a very cost-effective way for businesses to save on developing their own AI model. There's no need for that. They can leverage what's already available to them.

As a small business owner myself, I can appreciate this. I use ChatGPT the most. I use it for content creation, evaluation, and SEO. Another advantage is that I never run out of ideas because of AI.

I can have a conversation about anything. AI will always produce something that will make me think. Based on that, I can create more content.

But the most important contribution to my life by AI is productivity. I can do so much more in less time. Thus, I can dedicate more time to the people and activities I love.

Good Read

McAfee, Andrew, and Erik Brynjolfsson. Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company, 2017.

Ford, Martin. Rise of the Robots: Technology and the Threat of a Jobless Future. Basic Books, 2015.

Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press, 2018.

Domingos, Pedro. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2015.