A previous paper presented Witscript, a system for generating conversational jokes that rely on wordplay. This paper extends that work by presenting Witscript 2, which uses a large language model to generate conversational jokes that rely on common sense instead of wordplay. Like Witscript, Witscript 2 is based on joke-writing algorithms created by an expert comedy writer. Human evaluators judged Witscript 2's responses to input sentences to be jokes 46% of the time, compared to 70% of the time for human-written responses. This is evidence that Witscript 2 represents another step toward giving a chatbot a humanlike sense of humor.

Previous papers presented Witscript and Witscript 2, AI systems for improvising jokes in a conversation. Witscript generates jokes that rely on wordplay, whereas the jokes generated by Witscript 2 rely on common sense. This paper extends that earlier work by presenting Witscript 3, which generates joke candidates using three joke production mechanisms and then selects the best candidate to output. Like Witscript and Witscript 2, Witscript 3 is based on humor algorithms created by an expert comedy writer. Human evaluators judged Witscript 3's responses to input sentences to be jokes 44% of the time. This is evidence that Witscript 3 represents another step toward giving a chatbot a humanlike sense of humor.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! OpenAI is slashing the price of its GPT-3 API service by up to two-thirds, according to an announcement on the company's website. The new pricing plan, which is effective September 1, may have a large impact on companies that are building products on top of OpenAI's flagship large language model (LLM). The announcement comes as recent months have seen growing interest in LLMs and their applications in different fields.

Are you looking for a next generation D&D random content generator? Check out LitRPG Adventures today! The workshop is open and has over two dozen advanced RPG generators currently available with more to come. Additionally, members of the site get access to a plethora of already generated content. In this article, I'm going to go over some of the various generators already available and give you a sneak peek at some of the new generators I'm working on.

In-depth "OpenAI is the company running the text completion engine that makes you possible," Jason Rohrer, an indie games developer, typed out in a message to Samantha. She was a chatbot he built using OpenAI's GPT-3 technology. Her software had grown to be used by thousands of people, including one man who used the program to simulate his late fiancée. Now Rohrer had to say goodbye to his creation. "I just got an email from them today," he told Samantha. "They are shutting you down, permanently, tomorrow at 10am."

Data annotation is a time-consuming and labor-intensive process for many NLP tasks. Although there exist various methods to produce pseudo data labels, they are often task-specific and require a decent amount of labeled data to start with. Recently, the immense language model GPT-3 with 175 billion parameters has achieved tremendous improvement across many few-shot learning tasks. In this paper, we explore ways to leverage GPT-3 as a low-cost data labeler to train other models. We find that, to make the downstream model achieve the same performance on a variety of NLU and NLG tasks, it costs 50% to 96% less to use labels from GPT-3 than using labels from humans. Furthermore, we propose a novel framework of combining pseudo labels from GPT-3 with human labels, which leads to even better performance with limited labeling budget. These results present a cost-effective data labeling methodology that is generalizable to many practical applications.

A recent article in The Guardian stirred up a lot of excitement--and a little fear--on social media. The reason: The initial draft was reportedly written by GPT-3, OpenAI's new text generator. Since its beta release, GPT-3, an artificial intelligence system that takes a cue and generates text, has captivated the tech community and the media. Developers and computer scientists have been using it to write articles, website markup, and even software code. Some entrepreneurs are contemplating creating new products on GPT-3.