Exploring GPT-3 Applications
Generative Pre-trained Transformer-3 (GPT-3) is a state-of-the-art autoregressive language model with 175 billion parameters from OpenAI. The MIT Technology Review has quoted, “GPT-3 is shockingly good — and completely mindless”. The model is said to achieve high performance on many NLP datasets, including translation and question-answering.
GPT-3 is the successor of GPT-2. Unlike GPT-2, this model is not publicly available yet due to its strong capability leading to possible misuse. Currently, OpenAI has only released the beta version of the GPT-3 API that is available only based on invite. There is a waitlist to gain access to the API once you register. Here are few interesting applications developed using GPT-3.
Using GPT-3 Beta
Once you receive access to the GPT-3 beta version, you can explore the examples given by OpenAI. There are six different categories to choose from that include, Answers, Classification, Conversion, Generation, Translation, and Transformation.
A Playground is provided, where you can experiment with the GPT-3 API’s capabilities. You can finetune some of the parameters given in the playground such as the engine used for the API request, maximum number of tokens to generate i.e response length of the text, and level of randomness i.e temperature in the generated text. There is detailed documentation available on how to get started with the GPT-3 API, and familiarize with all the necessary terminologies.
Apart from this, there are extensive video tutorials, blog posts, and slack channel for registered GPT-3 users for any brainstorming and discussion on using this language model.
You might have some ideas to use GPT-3 in applications, but might be lacking a platform for implementation. Here’s a GPT-3 sandbox developed to help users in the process of creating and deploying applications locally using GPT-3 API. A Python script interfaces with GPT-3, enabling you to access and implement different use-cases using the GPT-3 API. You can create customized chatbot, language translator, etc. The repo comes with three sample scripts that can be used to get your hands dirty before developing your own application.
The GPT-3 though in beta stage has garnered a huge fan following across the globe. This has resulted in several open source projects being developed, and active support groups helping each other to break this model and discover its new facets. OpenAI is also encouraging GPT-3 users to come up with innovative solutions in the area of healthcare, education, environment, and energy. OpenAI is very cautious about the risk of GPT-3’s misuse, and hence is controlling its general release to the public.
Overall GPT-3 is breaking new barriers in NLP and making way for some cutting edge revolution in the field of deep learning. Its apt that Australian philosopher David Chalmers described GPT-3 as “one of the most interesting and important AI systems ever produced”.