If you want to benefit from an OpenAI machine learning model, you can use OpenAI’s API. It offers a variety of features like text completion, code completion, text and image generation, speech-to-text, and more that can be added to your applications. OpenAI’s ChatGPT model is a powerful option – it’s possible to build a serverless chatbot SMS chatbot with their API. However, the results of this model can be limited due to the finite training data they provide.
Transfer learning and fine-tuning are great ways to unlock more potential of an existing machine learning (ML) model. Transfer learning is a process wherein you can use knowledge gained from one problem and apply it to a similar yet dissimilar problem. Thus, a model designed to recognize a pizza could be edited to recognize a calzone.
Fine-tuning is the same concept – the existing ML model can be customized and modified for specific tasks. By fine-tuning, you can improve the results on a wide range of tasks, and you no longer need to provide prompt samples, thus saving you money and enabling lower latency requests.
Before you start fine-tuning, go ahead and create a new Node.js project in an empty directory. OpenAI is a premier artificial intelligence research, development, and deployment firm founded by legendary researchers from the world’s top universities in 2013. They specialize in developing powerful and transformative technologies such as chatbots and natural language processing models.
Their co-chairman and CEO is tech entrepreneur, investor, and philanthropist, Sam Altman. He has been the president of Y Combinator since 2014, one of the leading providers of early-stage startup investments in the world. Altman has an impressive track record of successes such as participating in the launch of startups like Dropbox, Airbnb and Reddit, and overseeing investments such as Instacart and Stripe. He also invests in technology and machine learning, which is what OpenAI excels in.
