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What is PaLM?

The PaLM API provides a simple and secure avenue for utilizing our cutting-edge language models. We are thrilled to unveil an exceptionally efficient model that strikes a balance between size and performance, with intentions to roll out additional model sizes soon. In tandem with this API, MakerSuite is introduced as an intuitive tool for quickly prototyping concepts, which will ultimately offer features such as prompt engineering, synthetic data generation, and custom model modifications, all underpinned by robust safety protocols. Presently, a limited group of developers has access to the PaLM API and MakerSuite in Private Preview, and we urge everyone to watch for our forthcoming waitlist. This initiative marks a pivotal advancement in enabling developers to push the boundaries of innovation with language models, paving the way for groundbreaking applications in various fields. The combination of powerful tools and advanced models is sure to inspire creativity and efficiency among users.

What is GPT-4?

The fourth iteration of the Generative Pre-trained Transformer, known as GPT-4, is an advanced language model expected to be launched by OpenAI. As the next generation following GPT-3, it is part of the series of models designed for natural language processing and has been built on an extensive dataset of 45TB of text, allowing it to produce and understand language in a way that closely resembles human interaction. Unlike traditional natural language processing models, GPT-4 does not require additional training on specific datasets for particular tasks. It generates responses and creates context solely based on its internal mechanisms. This remarkable capacity enables GPT-4 to perform a wide range of functions, including translation, summarization, answering questions, sentiment analysis, and more, all without the need for specialized training for each task. The model’s ability to handle such a variety of applications underscores its significant potential to influence advancements in artificial intelligence and natural language processing fields. Furthermore, as it continues to evolve, GPT-4 may pave the way for even more sophisticated applications in the future.

Media

Media

Integrations Supported

ChatGOT
AI Spend
APIPark
AutoResponder
CodeQwen
CometCore
Copymate
Crossplag
InstructGPT
KeyMate.AI
Kraftful
Neum AI
OmniParser
Stableoutput
Steamship
Typeblock
ZBrain
ZipZap.AI
editGPT
thisorthis.ai

Integrations Supported

ChatGOT
AI Spend
APIPark
AutoResponder
CodeQwen
CometCore
Copymate
Crossplag
InstructGPT
KeyMate.AI
Kraftful
Neum AI
OmniParser
Stableoutput
Steamship
Typeblock
ZBrain
ZipZap.AI
editGPT
thisorthis.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Google

Date Founded

1998

Company Location

United States

Company Website

google.com

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

beta.openai.com/docs/models/gpt-4

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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