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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

XecGuard, developed by CyCraft, serves as a firewall for trustworthy and agentic AI, specifically engineered to safeguard enterprise AI systems against various threats such as prompt injection, data leakage, and unsafe outputs. Leveraging CyCraft's extensive experience in red and blue teaming within sectors like government, finance, and high-tech manufacturing, XecGuard enhances security measures by integrating AI guardrails with cybersecurity protocols, compliance safeguards, and risk management tactics, ultimately facilitating the safe adoption of enterprise AI. This innovative solution functions as a plug-and-play LoRA security module, allowing organizations to bolster their LLM defenses seamlessly without necessitating modifications to the underlying model architecture, thus ensuring rapid implementation while maintaining optimal performance. By utilizing proprietary security datasets and advanced multi-stage fine-tuning methods, XecGuard significantly improves the resilience of LLMs against adversarial attacks, malicious interventions, and unauthorized extraction of sensitive information, making it an essential component for any enterprise aiming to fortify its AI systems effectively. Furthermore, its ability to adapt quickly to emerging threats underscores its value in today’s fast-evolving technological landscape.

Description

LLaMA-Factory is an innovative open-source platform aimed at simplifying and improving the fine-tuning process for more than 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It accommodates a variety of fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, empowering users to personalize models with ease. The platform has shown remarkable performance enhancements; for example, its LoRA tuning achieves training speeds that are up to 3.7 times faster along with superior Rouge scores in advertising text generation tasks when compared to conventional techniques. Built with flexibility in mind, LLaMA-Factory's architecture supports an extensive array of model types and configurations. Users can seamlessly integrate their datasets and make use of the platform’s tools for optimized fine-tuning outcomes. Comprehensive documentation and a variety of examples are available to guide users through the fine-tuning process with confidence. Additionally, this platform encourages collaboration and sharing of techniques among the community, fostering an environment of continuous improvement and innovation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
ChatGLM No 
DeepSeek No 
Gemma No 
LLaVA No 
Llama No 
Llama 3 No 
MLflow No 
Mistral AI No 
Mixtral 8x22B No 
Mixtral 8x7B No 
PaliGemma 2 No 
Phi-2 No 
Qwen No 
TensorBoard No 
TensorWave No 
Yi-Large No 

Integrations

OpenAI Yes 
ChatGLM Yes 
DeepSeek Yes 
Gemma Yes 
LLaVA Yes 
Llama Yes 
Llama 3 Yes 
MLflow Yes 
Mistral AI Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
PaliGemma 2 Yes 
Phi-2 Yes 
Qwen Yes 
TensorBoard Yes 
TensorWave Yes 
Yi-Large Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CyCraft

Founded

2017

Country

China

Website

www.cycraft.com/en/xecguard

Vendor Details

Company Name

hoshi-hiyouga

Website

github.com/hiyouga/LLaMA-Factory

Product Features

Product Features

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Alternatives

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