Nov 6, 2022
My laptop has three copies of The Three Worlds Collide.
seen from United Kingdom
seen from Malaysia
seen from United Kingdom
seen from China
seen from Türkiye
seen from Russia
seen from Thailand
seen from Germany
seen from United Kingdom
seen from Italy
seen from Türkiye
seen from United States
seen from Russia
seen from Hungary
seen from United States
seen from United States
seen from Malaysia
seen from Canada
seen from United Kingdom
seen from Russia
My laptop has three copies of The Three Worlds Collide.
Today's (second) GPT-J output is a few pages of random text, as one might reasonably expect – but also, without any captions or source.
Thanks a lot, guys.
Enhance GPT-J Chatbot with External APIs
Discover how to enhance your GPT-J chatbot with external APIs! Our latest blog post covers integrating real-time weather data and other services to make your chatbot more interactive and useful. Perfect for developers looking to boost chatbot capabilities
In our previous blog post, we covered the basics of building and deploying a GPT-J powered chatbot. Now, let’s explore how you can enhance your GPT-J chatbot with external APIs to provide real-time data and enrich your chatbot’s interactions. Specifically, we’ll create a weather bot that fetches current weather information from an external API and exposes an API endpoint for easy interaction. 1.…
GPT-3 is the best known text generation model on the market today but is expensive to use. Open source alternatives are now available. Here is a detailed comparison of GPT-3 and its competition.
GPT-Neo and GPT-J are open source and free to use, and both are good alternatives to OpenAI’s GPT-3 for users for whom cost is a constraint.
GPT has broad applications in industries such as entertainment, advertising, information technology, software development, and more. The availability of open source GPT-3 alternatives makes this tech more accessible and affordable for users, which is a welcome development.
As of this morning, GPT-J had improved over my own writing "on average 0.005% less word for word" – for this kind of improvement to be real I imagine it must take a much larger improvement to get over writing a sentence from scratch than this. (I wonder what GPT-J's word for word is …)