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What is LSO-MAX?

The Large-Scale Optimizerâ„¢ is a joint effort by Michael Best, a Professor Emeritus at the University of Waterloo's Department of Combinatorics and Optimization, and Jivendra Kale, the President of Financiometrics Inc. This innovative quadratic optimizer is tailored for the rapid development of long-only, long-short, and market-neutral portfolios, accommodating thousands of assets to facilitate effective risk management against a benchmark portfolio. Furthermore, it functions as an asset allocation tool grounded in the principles of Markowitz mean-variance analysis. The unrestricted edition of the Large-Scale Optimizerâ„¢ can be obtained as either an application or a subroutine library for seamless integration into existing software systems. By utilizing a sophisticated active set method enhanced by penalty function techniques, the Large-Scale Optimizerâ„¢ significantly accelerates the process of achieving a true global optimal solution for complex, real-world portfolio optimization problems, even in the presence of variable transaction costs. This distinctive feature establishes it as an invaluable resource for financial analysts and portfolio managers striving to refine their investment strategies with efficiency and precision, making it a standout option for those committed to maximizing their financial outcomes.

What is Ferret?

A sophisticated End-to-End MLLM has been developed to accommodate various types of references and effectively ground its responses. The Ferret Model employs a unique combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which facilitates detailed and adaptable referring and grounding functions within the MLLM framework. Serving as a foundational element, the GRIT Dataset consists of about 1.1 million entries, specifically designed as a large-scale and hierarchical dataset aimed at enhancing instruction tuning in the ground-and-refer domain. Moreover, the Ferret-Bench acts as a thorough multimodal evaluation benchmark that concurrently measures referring, grounding, semantics, knowledge, and reasoning, thus providing a comprehensive assessment of the model's performance. This elaborate configuration is intended to improve the synergy between language and visual information, which could lead to more intuitive AI systems that better understand and interact with users. Ultimately, advancements in these models may significantly transform how we engage with technology in our daily lives.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

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

Financiometrics

Company Website

www.financiometrics.com

Company Facts

Organization Name

Apple

Date Founded

1976

Company Location

United States

Company Website

github.com/apple/ml-ferret

Categories and Features

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Categories and Features

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