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Iris Identity ProtectionIris delivers powerful, easy-to-use identity and cyber protection solutions that help organizations protect their customers from identity theft, fraud, and digital threats — while driving engagement, retention, and new revenue opportunities. As a B2B2C provider, Iris enables businesses to seamlessly integrate identity protection into their existing products, platforms, and customer journeys. Iris offers multiple deployment models to meet different business and technical needs: • Identity Protection API: A scalable API solution that allows organizations to embed a suite of solutions that can be mixed and matched directly into their applications — while maintaining full control over branding and user experience. • Micro-Experiences: Prebuilt, customizable components that can be quickly embedded into websites or apps, enabling fast time-to-market with minimal development resources. • OnWatch® Portals: Fully managed, white-labeled identity protection platforms for organizations that prefer a turnkey solution. Iris solutions include dark web monitoring, credit monitoring, high-risk transaction monitoring, social media monitoring, caller ID monitoring, scam analysis & support, dynamic risk assessment tools, robust device protection software, data removal tools, do-it-for-you fraud resolution services, and more. Organizations use Iris to enhance customer trust, differentiate their offerings, reduce customer churn, and increase customer lifetime value. With proven results — including revenue generation, increased retention, and improved customer satisfaction — Iris transforms identity protection into a strategic business advantage. Backed by Generali and more than 20 years of experience, Iris combines global scale, advanced technology, and expert-led support to deliver meaningful protection and measurable outcomes.
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What is Kimi K2?
Kimi K2 showcases a groundbreaking series of open-source large language models that employ a mixture-of-experts (MoE) architecture, featuring an impressive total of 1 trillion parameters, with 32 billion parameters activated specifically for enhanced task performance. With the Muon optimizer at its core, this model has been trained on an extensive dataset exceeding 15.5 trillion tokens, and its capabilities are further amplified by MuonClip’s attention-logit clamping mechanism, enabling outstanding performance in advanced knowledge comprehension, logical reasoning, mathematics, programming, and various agentic tasks. Moonshot AI offers two unique configurations: Kimi-K2-Base, which is tailored for research-level fine-tuning, and Kimi-K2-Instruct, designed for immediate use in chat and tool interactions, thus allowing for both customized development and the smooth integration of agentic functionalities. Comparative evaluations reveal that Kimi K2 outperforms many leading open-source models and competes strongly against top proprietary systems, particularly in coding tasks and complex analysis. Additionally, it features an impressive context length of 128 K tokens, compatibility with tool-calling APIs, and support for widely used inference engines, making it a flexible solution for a range of applications. The innovative architecture and features of Kimi K2 not only position it as a notable achievement in artificial intelligence language processing but also as a transformative tool that could redefine the landscape of how language models are utilized in various domains. This advancement indicates a promising future for AI applications, suggesting that Kimi K2 may lead the way in setting new standards for performance and versatility in the industry.
What is CodeQwen?
CodeQwen acts as the programming equivalent of Qwen, a collection of large language models developed by the Qwen team at Alibaba Cloud. This model, which is based on a transformer architecture that operates purely as a decoder, has been rigorously pre-trained on an extensive dataset of code. It is known for its strong capabilities in code generation and has achieved remarkable results on various benchmarking assessments. CodeQwen can understand and generate long contexts of up to 64,000 tokens and supports 92 programming languages, excelling in tasks such as text-to-SQL queries and debugging operations. Interacting with CodeQwen is uncomplicated; users can start a dialogue with just a few lines of code leveraging transformers. The interaction is rooted in creating the tokenizer and model using pre-existing methods, utilizing the generate function to foster communication through the chat template specified by the tokenizer. Adhering to our established guidelines, we adopt the ChatML template specifically designed for chat models. This model efficiently completes code snippets according to the prompts it receives, providing responses that require no additional formatting changes, thereby significantly enhancing the user experience. The smooth integration of these components highlights the adaptability and effectiveness of CodeQwen in addressing a wide range of programming challenges, making it an invaluable tool for developers.
Integrations Supported
AiAssistWorks
Alibaba Cloud
AtCoder
Brokk
Conda
EaseMate AI
GPT-3.5
Hugging Face
LeetCode
LlamaIndex
Integrations Supported
AiAssistWorks
Alibaba Cloud
AtCoder
Brokk
Conda
EaseMate AI
GPT-3.5
Hugging Face
LeetCode
LlamaIndex
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Open source
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
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
Moonshot AI
Date Founded
2023
Company Location
China
Company Website
moonshotai.github.io/Kimi-K2/
Company Facts
Organization Name
Alibaba
Date Founded
1999
Company Location
China
Company Website
github.com/QwenLM/CodeQwen1.5