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Average Ratings 1 Rating
Description
Chinchilla is an advanced language model that operates with a compute budget comparable to Gopher while having 70 billion parameters and utilizing four times the amount of data. This model consistently and significantly surpasses Gopher (280 billion parameters), as well as GPT-3 (175 billion), Jurassic-1 (178 billion), and Megatron-Turing NLG (530 billion), across a wide variety of evaluation tasks. Additionally, Chinchilla's design allows it to use significantly less computational power during the fine-tuning and inference processes, which greatly enhances its applicability in real-world scenarios. Notably, Chinchilla achieves a remarkable average accuracy of 67.5% on the MMLU benchmark, marking over a 7% enhancement compared to Gopher, showcasing its superior performance in the field. This impressive capability positions Chinchilla as a leading contender in the realm of language models.
Description
Our models are designed to comprehend and produce natural language effectively. We provide four primary models, each tailored for varying levels of complexity and speed to address diverse tasks. Among these, Davinci stands out as the most powerful, while Ada excels in speed. The core GPT-3 models are primarily intended for use with the text completion endpoint, but we also have specific models optimized for alternative endpoints. Davinci is not only the most capable within its family but also adept at executing tasks with less guidance compared to its peers. For scenarios that demand deep content understanding, such as tailored summarization and creative writing, Davinci consistently delivers superior outcomes. However, its enhanced capabilities necessitate greater computational resources, resulting in higher costs per API call and slower response times compared to other models. Overall, selecting the appropriate model depends on the specific requirements of the task at hand.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Agnai
No
ChatGPT
No
Chatterbox
No
DB Sensei
No
Detect GPT
No
Guardrails AI
No
Lex
No
Microsoft 365 Copilot
No
MusicFX
Yes
NewOaks AI
No
Integrations
Agnai
Yes
ChatGPT
Yes
Chatterbox
Yes
DB Sensei
Yes
Detect GPT
Yes
Guardrails AI
Yes
Lex
Yes
Microsoft 365 Copilot
Yes
MusicFX
No
NewOaks AI
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.0200 per 1000 tokens
Prices are per 1,000 tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words. This paragraph is 35 tokens.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Google DeepMind
Country
United States
Website
arxiv.org/abs/2203.15556
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
beta.openai.com/docs/models/gpt-3
Product Features
Product Features
Artificial Intelligence
Chatbot
Yes
For Healthcare
Yes
For Sales
Yes
For eCommerce
Yes
Image Recognition
No
Machine Learning
No
Multi-Language
Yes
Natural Language Processing
Yes
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
Yes
Natural Language Generation
Business Intelligence
No
CRM Data Analysis and Reports
No
Chatbot
Yes
Email Marketing
No
Financial Reporting
No
Multiple Language Support
Yes
SEO
Yes
Web Content
Yes
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
Yes
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
Yes