Industry Insights


Hold and Modify: Fine-Tuning AI

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Artificial intelligence (AI) has become an essential part of many industries, including personalized recommendations on streaming platforms and forecasting in industrial settings. Although AI can optimize and automate a broad variety of processes, each use case is different, and it is frequently required to modify AI algorithms to meet particular company or human demands.

The "Hold and Modify" idea in the context of artificial intelligence is one technique to modify AI algorithms. Hold and Modify is a useful tool for companies and people who wish to fine-tune an AI model to their particular needs without spending the time and money of starting over. It refers to the ability to alter an existing AI model without having to retrain it from scratch.

Hold and Modify can be achieved using a technique called transfer learning. This means adapting an existing, previously trained AI model for a new task. Transfer learning can be used to change an AI model in a number of ways, such as by adding new layers or optimizing the existing layers of the model using fresh data.

At Agile451, we have used pre-trained language models with great success in a variety of different tasks and use cases. However, when applied with highly specialized and/or technical content, such as healthcare data, pre-trained language models may be significantly less successful. In these circumstances, it may be beneficial to further train the language model on the text from the relevant dataset using the pre-training approach (for example, masked language modeling). Often, this is referred to as fine-tuning the language model. Here, the goal is to train the model to better represent the dataset's specialist linguistic features, such as technical jargon, which the pre-trained model might not be accustomed to.

Hold and Modify has the potential to save time and costs when compared to building a model from scratch. The pre-trained model can adapt to a new task more quickly than beginning from scratch because it already has a great deal of knowledge about the task it was initially trained on.

That's pretty much it! Hold and Modify combined with transfer learning is a helpful technique for adjusting current AI models to suit new tasks or applications. This method may have some limitations, but it can save time and money compared to building a new model from scratch. Businesses and individuals can decide when and how to apply this strategy to maximize their AI applications by being aware of the advantages and limitations of it.

If you are interested in using the power of Hold and Modify and fine-tuning to develop or optimize AI models for your business or personal needs, there are many service providers available that offer these solutions. Agile451 offers a variety of AI services and products to assist organizations and people in effectively and swiftly achieving their objectives. Our experienced team is committed to creating cutting-edge AI solutions that are suitable for our customers' particular requirements. Contact us today to learn more about how we can help you optimize your AI applications using the latest techniques and technologies.