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What is Learnable.ai?

Deep reinforcement learning (DRL) integrates the powerful perception abilities of deep learning with the sequential decision-making skills inherent in reinforcement learning. Learnable's DRL AI autonomously generates vast amounts of simulation data, which not only supports continuous self-improvement but also boosts predictive precision. By leveraging DRL technologies, Learnable has developed three distinct AI models, each designed for specific purposes. The Interactive AI model engages with human users, building a cognitive framework that interprets human intentions through minimal interactions, owing to its sophisticated grasp of various feedback types. Likewise, the eXplainable AI (XAI) emulates the human brain's capacity to understand the complex relationships among events, actions, and rewards, which allows it to clearly articulate the reasoning behind its decisions, distinguishing it from other AI frameworks. Consequently, XAI provides a level of transparency that fosters greater trust and comprehension among users regarding its decision-making processes. This innovative approach not only enhances user experience but also paves the way for more intuitive human-AI interactions.

What is DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale represents the pinnacle of DeepSeek’s open-source reasoning models, engineered to deliver elite performance on complex analytical tasks. It introduces DeepSeek Sparse Attention (DSA), a highly efficient long-context attention design that reduces the computational burden while maintaining deep comprehension and logical consistency. The model is trained with an expanded reinforcement learning framework capable of leveraging massive post-training compute, enabling performance not only comparable to GPT-5 but demonstrably surpassing it in internal tests. Its reasoning capabilities have been validated through gold-winning solutions across major global competitions, including IMO 2025 and IOI 2025, with official submissions released for transparency and peer assessment. DeepSeek-V3.2-Speciale is intentionally designed without tool-calling features, focusing every parameter on pure reasoning, multi-step logic, and structured problem solving. It introduces a reworked chat template featuring explicit thought-delimited sections and a structured message format optimized for agentic-style reasoning workflows. The repository includes Python-based utilities for encoding and parsing messages, illustrating how to format prompts correctly for the model. Supporting multiple tensor types (BF16, FP32, FP8_E4M3), it is built for both research experimentation and high-performance local deployment. Users are encouraged to use temperature = 1.0 and top_p = 0.95 for best results when running the model locally. With its open MIT license and transparent development process, DeepSeek-V3.2-Speciale stands as a breakthrough option for anyone requiring industry-leading reasoning capacity in an open LLM.

Media

Media

Integrations Supported

Integrations Supported

DeepSeek
Hugging Face

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Learnable.ai

Date Founded

2016

Company Location

United States

Company Website

learnable.ai/#/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

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