If someone invents a self-curating database, they’ll be on their way to untold riches.
AI
-
Capabilities and use cases for GPT-3
By
–
So what can you use it for? GPT-3 will attempt to answer virtually any text prompt you give it. It can answer questions, write stories, poems, create lists, write research papers, and it can write code. A lot of code. The best way to describe what it can do is to just try it.
-
How Language Models Function as Probabilistic Text Predictors
By
–
When a user provides the text input, the system analyzes the language and uses a text predictor to create the most likely* output. *Does not necessarily mean the most factually accurate output, but rather the most "likely" output based on the data from the training library.
-
GPT-3 Training Data Composition Breakdown
By
–
GPT-3 has been trained on 45 TB of text data from different categories: ⬩Common Crawl (8 years of raw web page crawling) ⬩WebText (The text of Reddit posts with 3+ upvotes) ⬩Books (The internet-based books corpora) ⬩Wikipedia Data is then "weighed" as such:
-
How AI Models Transform Input into Predictions
By
–
This means that it can take user's input text and transform it into what it predicts the most useful result will be based on the patterns recognized from the parameter library.
-
Understanding Parameters in AI Models Like GPT-3
By
–
GPT-3 has a lot of "parameters" for guessing the next words in a sequence. What's a parameter? It's a variable within the model whose value can be estimated from the given data. They are required by the model when making predictions. GPT-3 has about 175,000,000,000 of them.
-
How AI Models Learn to Recognize Textual Patterns
By
–
The algorithm (or "model") utilizes a set of data that enables it to recognize certain patterns in the text. This is accomplished by training the system on the vast body of internet text to spot patterns.
-
A Simple Explanation of How LLMs Function
By
–
GPT-3 is what's called a "language learning model", or LLM.
— AI Breakfast (@AiBreakfast) 23 novembre 2022
Simply put, language models use statistics to guess the next word(s) in a sequence. pic.twitter.com/OJK3lETSkwGPT-3 is what's called a "language learning model", or LLM. Simply put, language models use statistics to guess the next word(s) in a sequence.
-
What is GPT-3?
By
–
Background: GPT-3 stands for "Generative Pre-trained Transformer (3rd Generation)" and was developed by @OpenAI in 2020. What does it do? GPT-3 generates human-like text.
-
Understanding GPT-3: Capabilities and Practical Applications
By
–
What exactly is GPT-3? Here's how it works, what it can do, and how you can use it today. ↓ [fun graphics] ↓