Making Bielik LLM Reason (Better): A Field Report

TL;DR

This paper evaluates and improves the reasoning abilities of Bielik, a Polish large language model, through benchmarking, analysis, and outlining future development prospects to maintain its competitiveness.

Contribution

It introduces a comprehensive evaluation methodology and comparative analysis to enhance Bielik's reasoning capabilities and discusses future directions for its development.

Findings

Initial benchmarking results of Bielik's reasoning abilities

Comparison with other large language models

Identified limitations and future improvement prospects

Abstract

This paper presents a research program dedicated to evaluating and advancing the reasoning capabilities of Bielik, a Polish large language model. The study describes a number of stages of work: initial benchmarking and creation of evaluation methodology, analyzing of comparative results with other LLMs and outlining of future prospects that take into account the limitations of the analyses conducted so far and aims to keep Bielik in the race give the ever-changing -- and competitive -- AI landscape.