Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 1 Rating

Total
ease
features
design
support

Description

BERT is a significant language model that utilizes a technique for pre-training language representations. This pre-training process involves initially training BERT on an extensive dataset, including resources like Wikipedia. Once this foundation is established, the model can be utilized for diverse Natural Language Processing (NLP) applications, including tasks such as question answering and sentiment analysis. Additionally, by leveraging BERT alongside AI Platform Training, it becomes possible to train various NLP models in approximately half an hour, streamlining the development process for practitioners in the field. This efficiency makes it an appealing choice for developers looking to enhance their NLP capabilities.

Description

Qwen LLM represents a collection of advanced large language models created by Alibaba Cloud's Damo Academy. These models leverage an extensive dataset comprising text and code, enabling them to produce human-like text, facilitate language translation, craft various forms of creative content, and provide informative answers to queries. Key attributes of Qwen LLMs include: A range of sizes: The Qwen series features models with parameters varying from 1.8 billion to 72 billion, catering to diverse performance requirements and applications. Open source availability: Certain versions of Qwen are open-source, allowing users to access and modify the underlying code as needed. Multilingual capabilities: Qwen is equipped to comprehend and translate several languages, including English, Chinese, and French. Versatile functionalities: In addition to language generation and translation, Qwen models excel in tasks such as answering questions, summarizing texts, and generating code, making them highly adaptable tools for various applications. Overall, the Qwen LLM family stands out for its extensive capabilities and flexibility in meeting user needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Alibaba Cloud Model Studio
Amazon SageMaker Model Training
Athene-V2
Axolotl
C
C++
Clojure
Doclingo
Featherless
JavaScript
Kotlin
LMArena
PHP
PromptX
Python
RankLLM
Rust
Symflower
TypeScript
Visual Basic

Integrations

Alibaba Cloud Model Studio
Amazon SageMaker Model Training
Athene-V2
Axolotl
C
C++
Clojure
Doclingo
Featherless
JavaScript
Kotlin
LMArena
PHP
PromptX
Python
RankLLM
Rust
Symflower
TypeScript
Visual Basic

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/ai-platform/training/docs/algorithms/bert-start

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/Qwen

Product Features

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

Alternatives

BLOOM Reviews

BLOOM

BigScience

Alternatives

ALBERT Reviews

ALBERT

Google
Gemini Reviews

Gemini

Google
RoBERTa Reviews

RoBERTa

Meta
Qwen2 Reviews

Qwen2

Alibaba
Chinchilla Reviews

Chinchilla

Google DeepMind