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What is Jurassic-1?
Jurassic-1 features two distinct model sizes, with the Jumbo variant being the most expansive at 178 billion parameters, showcasing the highest level of intricacy among language models available to developers. Presently, AI21 Studio is undergoing an open beta phase, encouraging users to sign up and start engaging with Jurassic-1 via a user-friendly API and an interactive online platform.
At AI21 Labs, we aim to transform the way individuals interact with reading and writing by incorporating machines as cognitive partners, a vision that necessitates collaborative efforts to achieve. Our journey into the realm of language models began during what we call our Mesozoic Era (2017 😉). Building on this initial research, Jurassic-1 represents the first series of models we are now making available for widespread public use. Looking ahead, we are eager to witness the innovative ways in which users will harness these technological advancements in their creative endeavors. Furthermore, we believe that this collaboration between humans and machines will unlock new frontiers in communication and expression.
What is GPT-3?
Our models are crafted to understand and generate natural language effectively. We offer four main models, each designed with different complexities and speeds to meet a variety of needs. Among these options, Davinci emerges as the most robust, while Ada is known for its remarkable speed. The principal GPT-3 models are mainly focused on the text completion endpoint, yet we also provide specific models that are fine-tuned for other endpoints. Not only is Davinci the most advanced in its lineup, but it also performs tasks with minimal direction compared to its counterparts. For tasks that require a nuanced understanding of content, like customized summarization and creative writing, Davinci reliably produces outstanding results. Nevertheless, its superior capabilities come at the cost of requiring more computational power, which leads to higher expenses per API call and slower response times when compared to other models. Consequently, the choice of model should align with the particular demands of the task in question, ensuring optimal performance for the user's needs. Ultimately, understanding the strengths and limitations of each model is essential for achieving the best results.
Integrations Supported
AI-FLOW
BabyAGI
Bubbly
ChatOga
Copyleaks
Crossplag
Genie AI
Hacker AI
Imaginary Programming
Môveo AI
Integrations Supported
AI-FLOW
BabyAGI
Bubbly
ChatOga
Copyleaks
Crossplag
Genie AI
Hacker AI
Imaginary Programming
Môveo AI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.0200 per 1000 tokens
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
AI21 Labs
Date Founded
2017
Company Location
Israel
Company Website
www.ai21.com/blog/announcing-ai21-studio-and-jurassic-1
Company Facts
Organization Name
OpenAI
Date Founded
2015
Company Location
United States
Company Website
beta.openai.com/docs/models/gpt-3
Categories and Features
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Natural Language Generation
Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization