Amazon Comprehend vs. GPT-4 Comparison


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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 Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
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 Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	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 Supported Free Trial Supported
Reviews/Ratings Overall 1.0 / 5 ease 4.0 / 5 features 3.0 / 5 design 3.0 / 5 support 3.0 / 5 Read all reviews	Reviews/Ratings Overall 4.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 support 3.0 / 5 Read all reviews
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 Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
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 Google Cloud Natural Language API Google	Alternatives BLACKBOX AI
CamoText	Dialogflow Google
MeaningCloud	GitHub Copilot GitHub
OpenText Unstructured Data Analytics OpenText	GPT-4 Turbo OpenAI
Watson Natural Language Understanding IBM View All	ChatGPT OpenAI View All
Categories Artificial Intelligence (AI) APIs Supported Natural Language Processing Supported Text Mining Supported	Categories AI Ad Copy Generators Supported AI Content Generators Supported AI Copywriters Supported AI Models Supported AI Script Generators Supported AI Story Generators Supported AI Summarizers Supported AI Text Generators Supported AI Tools Supported AI Writing Supported Artificial Intelligence Supported Artificial Intelligence (AI) APIs Supported Foundation Models Supported Generative AI Supported Large Language Models Supported Multimodal Models Supported Natural Language Generation Supported Natural Language Processing Supported Neural Network Supported
	Natural Language Processing Features Co-Reference Resolution Supported In-Database Text Analytics Supported Named Entity Recognition Supported Natural Language Generation (NLG) Supported Open Source Integrations Supported Parsing Supported Part-of-Speech Tagging Supported Sentence Segmentation Supported Stemming/Lemmatization Supported Tokenization Supported Show More Features Artificial Intelligence Features Chatbot Supported For eCommerce Supported For Healthcare Supported For Sales Supported Image Recognition Not Supported Machine Learning Supported Multi-Language Supported Natural Language Processing Supported Predictive Analytics Not Supported Process/Workflow Automation Not Supported Rules-Based Automation Not Supported Virtual Personal Assistant (VPA) Supported Natural Language Generation Features Business Intelligence Not Supported Chatbot Supported CRM Data Analysis and Reports Not Supported Email Marketing Not Supported Financial Reporting Not Supported Multiple Language Support Supported SEO Supported Web Content Supported
Integrations 302.AI Not Supported Agenthost Not Supported Amazon Quick Suite Supported Autory Not Supported Bricabrac Not Supported ChatGOT Not Supported Chatsimple Not Supported Copymate Not Supported Detecting AI Not Supported Empler Not Supported Folderr Not Supported GitPack Not Supported Gopher Not Supported HIX Translate Not Supported Neum AI Not Supported PubNub Supported Respan Not Supported TwoSlash Not Supported Usage Panda Not Supported Show More Integrations View All 17 Integrations	Integrations 302.AI Supported Agenthost Supported Amazon Quick Suite Not Supported Autory Supported Bricabrac Supported ChatGOT Supported Chatsimple Supported Copymate Supported Detecting AI Supported Empler Supported Folderr Supported GitPack Supported Gopher Supported HIX Translate Supported Neum AI Supported PubNub Not Supported Respan Supported TwoSlash Supported Usage Panda Supported Show More Integrations View All 411 Integrations
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