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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Leanstral 1.5 is a model licensed under Apache-2.0, designed for effective proof engineering in Lean 4, aimed at enhancing the capabilities and accessibility of formal verification. It boasts a total of 119 billion parameters, with 6 billion of them being active, marking a significant improvement in performance for tasks such as theorem proving, agent-based proof engineering, and the verification of practical code. The development of Leanstral 1.5 involved a comprehensive three-stage training process, which included mid-training, supervised fine-tuning, and reinforcement learning utilizing CISPO. In a multiturn environment, the model is tasked with receiving a theorem statement, submitting a proof, and refining its approach based on feedback from the Lean compiler until the proof is either successfully compiled or the available resources are depleted. In the code agent setting, Leanstral functions similarly to a developer navigating a raw filesystem, allowing it to edit files, execute bash commands, and interact with the Lean language server to monitor goals, errors, and type information in real time. This innovative approach not only streamlines the proof engineering process but also significantly enhances the user experience in formal verification tasks.

Description

Theorem is an all-in-one solution for post-trade processing and data management that enables users to access aggregated reporting, manage trade workflows, and perform matching and affirmation, all through a user-friendly online portal that eliminates the need for local installations or technician assistance. With Theorem, you can seamlessly integrate data from brokers, exchanges, trading platforms, or your own internal systems, tailoring the management process to meet your unique requirements. The platform's lightweight setup allows you to either utilize the full suite of features or selectively choose the tools you need at any given moment. Immediately upon the execution of a trade, Theorem guarantees precise post-trade processing by efficiently allocating trades and conducting matching with executing and clearing counterparties. Additionally, Theorem synchronizes data, analytics, and insights from various brokers, accounts, and portfolios, empowering you with actionable intelligence while equipping stakeholders with sophisticated analytics and clear, comprehensible risk reports. By streamlining these processes, Theorem enhances decision-making capabilities across organizations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$500.00/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/leanstral-1-5/

Vendor Details

Company Name

Theorem Technologies

Founded

2018

Country

United States

Website

www.theorem.io

Product Features

Product Features

Hedge Fund

Compliance Management
Contact Management
Investor Accounting
Investor Reporting
P&L Calculation
Partnership Accounting
Performance Analysis
Portfolio Analysis
Portfolio Management

Investment Management

Accounting Management
Benchmarking
Bonds / Stocks
Client Management
Commodities
Compliance Reporting
Data Import / Export
For Investment Advisors
For Investors & Traders
Fund Management
Modeling & Simulation
Payroll & Commissions
Performance Metrics
Portfolio Management
Risk Management

Alternatives

Alternatives

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