评测并提升波兰大模型Bielik的推理能力，助力其在竞争激烈的AI领域持续发展。
Making Bielik LLM Reason (Better): A Field Report
- 构建针对Bielik的推理能力评估方法与基准测试流程。
- 对比分析Bielik与其他大模型的推理表现，发现性能差距与改进空间。
- 面向未来优化方向，提出持续迭代策略以应对快速变化的AI竞争环境。
本文介绍了一项专注于评估和提升波兰大语言模型Bielik推理能力的研究计划。研究包含多个阶段：初始基准测试与评估方法构建、与其他大模型的对比结果分析，以及基于现有分析局限性的未来展望。旨在明确Bielik当前的表现瓶颈，并制定切实可行的改进路径，确保其在不断演变且竞争激烈的AI领域中保持竞争力。
原文摘要 · Abstract (English)
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.
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