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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

Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.

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

Anyone searching for a tool to implement customizable safety measures in their generative AI applications

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

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
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 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

Company Information

LintCode
China
www.lintcode.com/en/

Company Information

Meta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/

Alternatives

Alternatives

Categories

Categories

Integrations

Llama
OpenAI

Integrations

Llama
OpenAI
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Claim LintCode and update features and information
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