EURUS: A Suite of Large Language Models (LLMs) Optimized for Reasoning, Achieving State-of-the-Art Results among Open-Source Models on Diverse Benchmarks

 EURUS: A Suite of Large Language Models (LLMs) Optimized for Reasoning, Achieving State-of-the-Art Results among Open-Source Models on Diverse Benchmarks

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EURUS: A Suite of Large Language Models (LLMs) Optimized for Reasoning

Introduction

Large language models (LLMs) have significantly advanced Artificial Intelligence (AI) by addressing a wide range of tasks, from natural language understanding to complex problem-solving. However, challenges persist due to the lack of high-quality alignment data and underutilization of preference learning strategies.

Existing Work and Challenges

Specialized models like MAmmoTH-7B-Mistral and WizardMath-7B-v1.1 focus on mathematical reasoning, while Magicoder-S-DS-6.7B and OpenCodeInterpreter (OpenCI-DS-6.7B/CL-70B) target coding proficiency. Innovations in preference learning with DPO and KTO methods have also been made. However, there is a need for a unified reasoning capability across diverse domains, which proprietary models like GPT-3.5 Turbo and GPT-4 demonstrate effectively.

EURUS: A Unique Approach

EURUS is a collection of LLMs optimized for reasoning, developed by a collaborative effort from several research institutions. It utilizes ULTRA INTERACT, a specially designed dataset, to enhance reasoning through preference learning and intricate interaction models. EURUS has outperformed existing models in reasoning tasks, showcasing its unique approach to tackling complex challenges.

Methodology and Performance

EURUS methodology employs supervised fine-tuning and preference learning using the ULTRA INTERACT dataset. It leverages foundational models Mistral-7B and CodeLlama-70B, demonstrating advanced reasoning capabilities with a significant improvement in pass@1 accuracy on benchmarks such as LeetCode and TheoremQA.

Conclusion and Impact

EURUS sets a new benchmark in the performance of LLMs for mathematical and coding problem-solving tasks, narrowing the gap between open-source models and proprietary counterparts. It demonstrates the potential of specialized datasets and innovative training methodologies in advancing LLMs’ reasoning capabilities.

For more information, check out the Paper, HF Page, and Github.

AI Solutions for Your Business

If you want to evolve your company with AI, consider using EURUS for advanced reasoning tasks. AI can redefine your way of work by automating customer engagement, managing interactions, and redefining sales processes.

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