Qwen

Qwen

Alibaba
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About

Coding Interview Question Online Training System. Focus on algorithm. No parsing input/output anymore. Industrial standard lint helps you write the most beautiful code. Step by step training. Coding for fun. Want more practises can filter by difficulty, algorithm and data structure? Check out our interview questions. LintCode has the most interview problems covering Google, Facebook, Linkedin, Amazon, Microsoft and so on. We provide Chinese and English versions of the challenges. Solve challenges such as: Implement an API to Access User Data, Implement Decorator with Parameters, Exception Handling, Implementing a shopping cart program, Replace the elements in a string, The number of the two numbers in the list whose sum is equal to n, Print out SMS verification code, Import a module and alias it, Importing a module, Search for a lecturer number, Print Zero, Even and Odd Number Interleave, Implement timer decorator, and many more.

About

Qwen LLM refers to a family of large language models (LLMs) developed by Alibaba Cloud's Damo Academy. These models are trained on a massive dataset of text and code, allowing them to understand and generate human-like text, translate languages, write different kinds of creative content, and answer your questions in an informative way. Here are some key features of Qwen LLMs: Variety of sizes: The Qwen series ranges from 1.8 billion to 72 billion parameters, offering options for different needs and performance levels. Open source: Some versions of Qwen are open-source, which means their code is publicly available for anyone to use and modify. Multilingual support: Qwen can understand and translate multiple languages, including English, Chinese, and French. Diverse capabilities: Besides generation and translation, Qwen models can be used for tasks like question answering, text summarization, and code generation.

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

Companies in search of a coding interview question online training system solution to conduct technical interviews

Audience

Developers that want a powerful LLM

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

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 1.0 / 5
ease 1.0 / 5
features 1.0 / 5
design 2.0 / 5
support 1.0 / 5

Reviews/Ratings

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

LintCode
China
www.lintcode.com/en/

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen

Alternatives

Alternatives

OLMo 2

OLMo 2

Ai2
Phi-3

Phi-3

Microsoft
Qwen2

Qwen2

Alibaba
Qwen2-VL

Qwen2-VL

Alibaba

Categories

Categories

Integrations

AiAssistWorks
Alibaba Cloud
C
Decompute Blackbird
F#
Go
JavaScript
ModelScope
PHP
PromptX
Python
Qwen Chat
RankLLM
Ruby
SQL
Symflower
Tinker
Visual Basic
WebLLM
Zemith

Integrations

AiAssistWorks
Alibaba Cloud
C
Decompute Blackbird
F#
Go
JavaScript
ModelScope
PHP
PromptX
Python
Qwen Chat
RankLLM
Ruby
SQL
Symflower
Tinker
Visual Basic
WebLLM
Zemith
Claim LintCode and update features and information
Claim LintCode and update features and information
Claim Qwen and update features and information
Claim Qwen and update features and information