GPT-3.5

GPT-3.5

OpenAI
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About

GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction. For applications requiring a lot of understanding of the content, like summarization for a specific audience and creative content generation, Davinci is going to produce the best results. These increased capabilities require more compute resources, so Davinci costs more per API call and is not as fast as the other models.

About

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a powerful large-scale unsupervised language model which has been trained on a vast amount of text data, capable of generating text that appears to be human-written and can also generate images, code, and other creative outputs

Audience

Developers seeking a solution to derive insights from unstructured text using Google machine learning

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.0200 per 1000 tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 4.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 4.0 / 5
support 4.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenAI
Founded: 2015
United States
openai.com

Company Information

Google
Founded: 1998
United States
cloud.google.com/natural-language

Alternatives

Claude

Claude

Anthropic

Alternatives

Semantria

Semantria

Lexalytics
Claude Haiku 3

Claude Haiku 3

Anthropic
GPT-3

GPT-3

OpenAI
GPT-4

GPT-4

OpenAI

Categories

Categories

Natural Language Generation Features

Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing Features

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

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Natural Language Generation Features

Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing Features

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

Data Extraction Features

Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Qualitative Data Analysis Features

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining Features

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Integrations

Unremot
Article Factory
BabyAGI
BrainyAI
ChatGPT
Cognosys
Cyril
FastBots
GPT-4
Gemini 1.5 Pro
Genie AI
Hubble
Interviews by AI
Pigro
Prompt Masters
Q
Tokyo AI
ZeroStep
endoftext
n8n

Integrations

Unremot
Article Factory
BabyAGI
BrainyAI
ChatGPT
Cognosys
Cyril
FastBots
GPT-4
Gemini 1.5 Pro
Genie AI
Hubble
Interviews by AI
Pigro
Prompt Masters
Q
Tokyo AI
ZeroStep
endoftext
n8n
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