GPT-4

GPT-4

OpenAI
Llama

Llama

Meta
Vicuna

Vicuna

lmsys.org
+

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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.

About

Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.

About

Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

AI developers interested in a powerful large language model

Audience

Developers interested in an open source and powerful large language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$0.0200 per 1000 tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Meta
Founded: 2004
United States
www.llama.com

Company Information

lmsys.org
Founded: 2023
lmsys.org

Alternatives

Alternatives

Gemini

Gemini

Google

Alternatives

Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Claude

Claude

Anthropic
Falcon-40B

Falcon-40B

Technology Innovation Institute (TII)
Dialogflow

Dialogflow

Google
Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Ferret

Ferret

Apple
ChatGPT

ChatGPT

OpenAI
Llama 2

Llama 2

Meta
StableVicuna

StableVicuna

Stability AI
ChatGPT Pro

ChatGPT Pro

OpenAI
Llama 2

Llama 2

Meta

Categories

Categories

Categories

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

Integrations

Aerogram
Aili
AlphaBot
App2
Baseplate
Clore.ai
Cursor
Dyad
HOJI AI
Kodosumi
Marve Chat
Merlin AI
Ontosight.ai
PopAi
Prompt Studio
Replix
Social Keyboard
Tune AI
Wegic
endoftext

Integrations

Aerogram
Aili
AlphaBot
App2
Baseplate
Clore.ai
Cursor
Dyad
HOJI AI
Kodosumi
Marve Chat
Merlin AI
Ontosight.ai
PopAi
Prompt Studio
Replix
Social Keyboard
Tune AI
Wegic
endoftext

Integrations

Aerogram
Aili
AlphaBot
App2
Baseplate
Clore.ai
Cursor
Dyad
HOJI AI
Kodosumi
Marve Chat
Merlin AI
Ontosight.ai
PopAi
Prompt Studio
Replix
Social Keyboard
Tune AI
Wegic
endoftext
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