# Summary of the Article:
– Large Language Models (LLMs) have made strides in natural language processing but struggle with reasoning tasks.
– While some tasks like math and code generation improve with structured data, broader reasoning tasks lack data.
– Significant challenges exist in tasks like logical deduction, scientific inference, and symbolic reasoning.
– DeepSeek AI has introduced CODEI/O, a new approach to convert code-based reasoning patterns into natural language formats to boost LLMs’ reasoning capabilities.
## Author’s Take:
DeepSeek AI’s CODEI/O offers a promising solution to enhance LLMs’ reasoning capabilities by transforming code-based patterns. This innovative approach could potentially bridge the gap in sparse and fragmented data for reasoning tasks and pave the way for significant advancements in natural language processing.
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