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What is GPT-NeoX?

This repository presents an implementation of model parallel autoregressive transformers that harness the power of GPUs through the DeepSpeed library. It acts as a documentation of EleutherAI's framework aimed at training large language models specifically for GPU environments. At this time, it expands upon NVIDIA's Megatron Language Model, integrating sophisticated techniques from DeepSpeed along with various innovative optimizations. Our objective is to establish a centralized resource for compiling methodologies essential for training large-scale autoregressive language models, which will ultimately stimulate faster research and development in the expansive domain of large-scale training. By making these resources available, we aspire to make a substantial impact on the advancement of language model research while encouraging collaboration among researchers in the field.

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.

Media

Media

Integrations Supported

AI Detector Pro (AIDP)
Ask Command
DataLang
Discuro
Docsium
GPT AI Power
GPT-3.5
Genie AI
GlimmerAI
Haystack
Lex
Nekton.ai
Neum AI
PowerMode
Spell
SuperBuzz
Three Sigma
Wordware
Zapier

Integrations Supported

AI Detector Pro (AIDP)
Ask Command
DataLang
Discuro
Docsium
GPT AI Power
GPT-3.5
Genie AI
GlimmerAI
Haystack
Lex
Nekton.ai
Neum AI
PowerMode
Spell
SuperBuzz
Three Sigma
Wordware
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

EleutherAI

Date Founded

2020

Company Website

github.com/EleutherAI/gpt-neox

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

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