Using Open Source Language Models for Customized Answers and Monetization

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Open source language models can be used by businesses to fine-tune and calibrate the weights of the models to align with their own corpus of text, allowing for more customized answers in specific domains. This approach provides a way to monetize the models, as anyone can use the open source models to achieve similar results. Businesses can come in, fine-tune the models, and then use them for their specific needs.

The arrival of the AI boom has stirred up a lot of questions, a couple of which seem to define the main concerns with the technology: are machines going to take all of our jobs, and how can I utilize this tech in a way that nobody else has thought of yet?

The first question is answered by the fact that none of this would function without human creativity guiding the process, and the second will be answered in a multitude of ways as this technology continues to be refined and democratized in the coming years..

This week on InvestED, Phil and Danielle are joined once again by AI expert Nuno Neves Cordeiro as they discuss the ways that investment firms are implementing open source machine learning processes to streamline the way they analyze data, as well as how the average investor can take advantage of this technology.

Click here for your copy of 5 Numbers to Determine a Smart Investment, Phil’s guide for discovering and calculating the numbers that matter most in your investments: https://bit.ly/3psMESQ

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