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What is garak?

Garak assesses the possible shortcomings of an LLM in various negative scenarios, focusing on issues such as hallucination, data leakage, prompt injection, misinformation, toxicity, jailbreaks, and other potential weaknesses. This tool, which is freely available, is built with a commitment to ongoing development, always striving to improve its features for enhanced application support. Functioning as a command-line utility, Garak is suitable for both Linux and OSX users and can be effortlessly downloaded from PyPI for immediate use. The pip version of Garak undergoes frequent updates to maintain its relevance, and it is advisable to install it within its own Conda environment due to specific dependencies. To commence a scan, users must specify the model that requires analysis; Garak will, by default, run all applicable probes on that model using the recommended vulnerability detectors for each type. As the scanning progresses, users will observe a progress bar for each probe loaded, and once completed, Garak will deliver a comprehensive report detailing the results from every probe across all detectors. This functionality makes Garak an essential tool not only for assessment but also as a crucial asset for researchers and developers who seek to improve the safety and dependability of LLMs in their projects. Additionally, Garak's user-friendly interface ensures that even those less experienced can navigate its features with ease, further broadening its accessibility and impact within the field.

What is Portfolio Probe?

Portfolio Probe generates random portfolios that can greatly improve your fund management techniques. These portfolios act as samples from a broader set that complies with key constraints, which are essential for their success. The adaptable nature of random portfolios enables a wide range of applications within the financial sector. Essentially, optimizing a portfolio entails using predictions about the asset universe to pinpoint the most beneficial trade to undertake. It's important to clarify that the term "portfolio optimization" can be somewhat misleading, as the real emphasis is on enhancing the trade itself rather than the overall portfolio. Additionally, utility-free optimization seeks to discover the trade that best matches an ideal target portfolio while adhering to the predetermined constraints, thus maintaining strategic coherence in asset management. By employing these strategies, fund managers are empowered to make well-informed choices that significantly boost their investment outcomes. This approach not only enhances decision-making but also aligns with an overarching goal of achieving sustainable growth in asset performance.

Media

Media

Integrations Supported

Cohere
Conda
Hugging Face
OpenAI
Replicate

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

garak

Company Website

github.com/leondz/garak/

Company Facts

Organization Name

Burns Statistics

Company Location

United Kingdom

Company Website

www.burns-stat.com

Categories and Features

AI Guardrails

Not specified

Categories and Features

Hedge Fund

Compliance Management
Performance Analysis
Portfolio Analysis
Portfolio Management

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