Jasper AI

Archives: Language Model

Dall-E 2

Dall-E 2 Language Model

Discover DALL-E 2, the latest language model from OpenAI that creates stunning images from textual descriptions. Learn about its features and potential applications.

Whisper

What is Whisper Language Model

Discover OpenAI Whisper, a multilingual automatic speech recognition system trained on over 680,000 hours of speech data. Ideal for diverse applications!

PaLM (Pathways Language Model)

Meet PaLM, Google’s newest Language Model with 540 billion parameters. PaLM can generate unique text, translate with high accuracy, and more.

Proprietary Models

Some companies don’t use popular language models provided by big players such as OpenAI, Meta, and Google, but have invested in their own models. These models aren’t well known, though some, like A121 Labs, have over 10,000 developers already using them. On the AI Mode website, we often reference applications using these models as Proprietary […]

WebGPT

WebGPT Language Model OpenAI Bing Index API

WebGPT mimics the way a human searches the internet: it gathers information from the webpages it visits, organizes it into a structured output, then provides users with a relevant response.

Prometheus Model

Microsoft Bing’s Prometheus Model

The new Bing AI search is powered by a variant of GPT-3 customized for search, ChatGPT, and a new proprietary technology that Microsoft is calling the “Prometheus Model”. The Prometheus model, runs in the next-generation model, that Microsoft claims, is more powerful than ChatGPT. We speculate this to be GPT-4, which Bing is likely to […]

GPT-3

What is GPT-3 Language Model? Developed by OpenAI, GPT-3 is a large language model that uses AI to produce human-sounding text. It is the third iteration of OpenAI's Generative Pre-trained Transformer (GPT) model. It uses a deep neural network with 175 billion parameters to generate human-like text based on a given prompt. it is bigger and better than its early predecessor model, GPT-2 (1.5 billion parameters). Being task-agnostic, this model can perform specified tasks with very few or no further fine-tuning, demo content, or external data. Having been introduced to the public in May of 2020, GPT-3 is considered a breakthrough in natural language processing (NLP) as it's the first to create text that is both syntactically and semantically correct. The latest variant, ChatGPT, saw OpenAI garner 100 million users within two months of its launch. GPT-3 Applications GPT-3 has the potential to revolutionize the way we interact with machines, automate tedious tasks, and generate content. It can be used in natural language generation (NLG) such as: Automated customer support, Generating, completing, and explaining code Summarization of documents, and Generation of entire articles with minimal human intervention. GPT-3 can also be used in natural language understanding (NLU) such as: Answering questions, Sentiment analysis, and Text classification. Translating documents to other languages Explaining concepts GPT-3 is also becoming popularly used in creative writing such as story generation and poetry composition. How does GPT-3 work? Being a language prediction model, GPT-3 uses AI to predict the next word in a sentence based on the words that have come before it. To do this, GPT-3 takes into account the entire context of a sentence and looks at patterns in language. The model works by tokenizing a given text into small pieces, known as tokens, which it then uses to predict the next token. GPT-3 has a large vocabulary (from data it was pre-trained on) and is able to generate text that sounds natural and is grammatically correct.

Developed by OpenAI, GPT-3 is a family of large language models that use AI to produce human-sounding text. It is the third iteration of OpenAI’s Generative Pre-trained Transformer (GPT) model. It uses a deep neural network with 175 billion parameters to generate human-like text based on a given prompt. it is bigger and better than […]