GPT-4

GPT-4

OpenAI
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About

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.

About

GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.

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

Organizations that want a powerful solution that lets them discover insights and relationships in text

Audience

Users interested in a powerful a large-scale unsupervised language model that can generate human-like text and complete a wide variety of tasks

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

No information available.
Free Version
Free Trial

Pricing

$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 Version
Free Trial

Reviews/Ratings

Overall 1.0 / 5
ease 4.0 / 5
features 3.0 / 5
design 3.0 / 5
support 3.0 / 5

Reviews/Ratings

Overall 4.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 3.0 / 5

Pros & Cons from Real Users

Pros

  • Very easy to setup and train models. Endpoint were very easy to configure and get running. Built for developer ease of use.

Cons

  • The cost is outrageous. Most AWS products are reasonable in terms of cost especially their AI products. This one is so prohibitive we will be moving our infrastructure to another system. The costly part is their endpoints with cost as long as they are running. Our system needs to have 24/7 availability and was doing document analysis on 1000s of emails and documents per day. The cost for a single endpoint was ~$3400 USD. Very little traffic was being used by that endpoint at the time. AWS charged for total time not token based usage. Which made the costs skyrocket. Please avoid to save yourself money unless you can standup the endpoints and take them down frequently.

Pros & Cons from Real Users

Pros

  • Huge leap over the previous model, GPT-3. Very good at coding and summarizing and writing original shortform content.

Cons

  • At first, GPT-4 seemed amazing. It does seem in the past few months it may have regressed a bit, and I am not sure why. I just know that it has botched a few tasks that it previously would have done perfectly. But it's still a huge leap over GPT-3. The other downside is that it is slower than GPT-3. I know it is a more complex model, so that might be to be expected, but I hope they can speed it up.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/comprehend/

Company Information

OpenAI
Founded: 2015
United States
beta.openai.com/docs/models/gpt-4

Alternatives

Alternatives

Claude

Claude

Anthropic
Dialogflow

Dialogflow

Google
GPT-4 Turbo

GPT-4 Turbo

OpenAI
ChatGPT

ChatGPT

OpenAI

Categories

Categories

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

Integrations

AI Mail Assistant
Chaturji
Cognitiev PRO
DBRX
DocDecoder
Globalseo
Glowbom
GoCodeo
LLMBear
Lemonstocks
OneAudio
Perfekt Prompt
Poe
ProMind.AI
Prompt Refine
Simpli UX
Sketch2App
TranslateWith.ai
VeedoAI
editGPT

Integrations

AI Mail Assistant
Chaturji
Cognitiev PRO
DBRX
DocDecoder
Globalseo
Glowbom
GoCodeo
LLMBear
Lemonstocks
OneAudio
Perfekt Prompt
Poe
ProMind.AI
Prompt Refine
Simpli UX
Sketch2App
TranslateWith.ai
VeedoAI
editGPT
Claim Amazon Comprehend and update features and information
Claim Amazon Comprehend and update features and information
Claim GPT-4 and update features and information
Claim GPT-4 and update features and information