GPT-3
#7
GPT-3 (short for "Generative Pre-trained Transformer 3") is a state-of-the-art language processing artificial intelligence developed by OpenAI. It is capable of generating human-like text and completing tasks such as translation, question answering, and summarization. One of the largest and most powerful language models currently available, GPT-3 is trained on a massive dataset and uses a transformer neural network architecture to generate text. It has been used in a variety of applications, including chatbots, content generation, and language translation. GPT-3 has received attention for its impressive language generation capabilities and its potential to revolutionize the field of natural language processing.
Highlights
- Over 300 applications use GPT-3
More than 300 applications are now using GPT-3, and tens of thousands of developers around the globe are building on our platform. - GPT-3's capability to identify themes
GPT-3’s ability to identify themes from natural language and generate summaries allows Viable to give product, customer experience, and marketing teams at companies across industries a better understanding of their customers’ wants and needs. - Lucy, the VR-driven chatbot
Lucy, the hero of Neil Gaiman and Dave McKean’s Wolves in the Walls, which was adapted by Fable into the Emmy Award-winning VR experience, can have natural conversations with people thanks to dialogue generated by GPT-3. - Algolia Answers product
Algolia uses GPT-3 in their Algolia Answers product to offer relevant, lightning-fast semantic search for their customers. - New features for developers
Our team is continually improving the platform— from implementing a content filter to offering new features for developers including our recently launched: Answers endpoint, Classifications endpoint, Enhanced search endpoint and Prompt library. - Growing developer community
We have a growing community of tens of thousands of developers around the world, with the majority across North America, Europe, Asia, and Australia. It’s been encouraging to hear from several of our developers that their first experience with an API or programming has been with OpenAI’s interface. - Call for developers
We’d love to see our current and future developers push the limits of what’s possible with GPT-3 and build new applications in the following areas: Productivity Tools, Healthcare and Biotechnology, Climate Science and Energy, Educational Technology and Learning Tools. - Viable Feedback Summary
Viable helps companies better understand their customers by using GPT-3 to provide useful insights from customer feedback in easy-to-understand summaries. - Prompt design examples
Prompt design examples that users can begin programming with directly. - Safety measures
We require developers to implement safety measures such as rate limits, user verification and testing, or human-in-the-loop requirements before they move into production. - Content filter
We have developed and deployed a content filter that classifies text as safe, sensitive, or unsafe. We currently have it set to err on the side of caution, which results in a higher rate of false positives. - Platform improvements
As we scale access, our team is continually improving the platform—from implementing a content filter to offering new features for developers including our recently launched: Answers endpoint, Classifications endpoint, Enhanced search endpoint and Prompt library.
#GPT3
#OpenAI
#NLP
#AI
#LanguageGeneration
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