https://vimeo.com/552634504 GPT-3 can remember hundreds of items and perform completions with them. This is useful if you want to take your prompts to the next level and do more complex operations.
OpenAI's GPT-3 is a highly capable general language model able to talk about almost anything. While this is an advantage on one hand, it can also make keeping GPT-3 focused on one topic a challenge if you’re trying to create a special purpose chatbot. If you want GPT-3 to talk about movies with a user, … Continue reading A simple method to keep GPT-3 focused in a conversation
We recently added three new endpoints to the API for GPT-3. The Classification Endpoint makes it easy to apply classification from a data set larger than what fits inside a prompt. https://vimeo.com/536638286
TL;DR: In an API call GPT-3 can recall details from a 1,500 word article and even repeat passages verbatim. It can also repeat over 250 items from a list as it creates a completion. The concept of memory with a large language model can be a little fuzzy. There's how much information the model possesses … Continue reading How large is GPT-3’s short term memory?
TL;DR: For many tasks you don’t need to provide GPT-3 with examples because it already understands what you want. If you look closely at the documentation and prompts for GPT-3 provided by OpenAI you’ll notice that a number of them don’t require any examples to show the model what you want. This is because in … Continue reading The GPT-3 Zero Shot approach
TL;DR: GPT-3 is much more capable than people realize when you utilize advanced prompt design that shows it what you want performed in a task then show it how to perform this task with a list of inputs. One of my favorite prompts in our OpenAI documentation is an example showing how to get GPT-3 … Continue reading Advanced Prompt Design for GPT-3: How to make a prompt 20x more efficient
Here's a fun fact: OpenAI's GPT-3 is actually a family of models, Ada, Babbage, Curie and Davinci that have different capabilities and speed. While Davinci gets most of the attention, the other models are amazing in their own way. Davinci is the most generally-capable model that’s exceptional at intuiting what someone wants to accomplish while … Continue reading Overclocking OpenAI’s GPT-3
When the first demos of GPT-3 content started to circulate it showed the amazing potential for a really smart language model to generate text and do cool things. Yet despite all the attention GPT-3 has been getting there’s one other aspect of it made available by OpenAI that’s been almost completely overlooked: Semantic Search. The … Continue reading The best kept secret about OpenAI’s GPT-3
OpenAI’s API allows for incredibly intelligent text comprehension and transformation. For fun I made a little application that takes a transcript or script and turns it into a narrative structure for a novel and vice versa. This means that you can input dialog and add some simple instructions and get a narrative form back (and … Continue reading OpenAI API Alchemy: Turn a script into a novel (and vice versa)
OpenAI’s API is incredibly versatile at comprehending text and completing passages, finding data and generating new information. For fun I wanted to see what would happen if I supplied it with a different kind of text data: Emojis. Emojis are interesting because they can convey information visually and are understood around the world regardless of … Continue reading OpenAI API Alchemy: Emoji storytelling 🤖