Скачать или смотреть TIM: LLMs Beyond Context Limits

In this AI Research Roundup episode, Alex discusses the paper:
'Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning'
This paper introduces the Thread Inference Model (TIM) to overcome the context window limitations that hamper long-horizon reasoning in large language models. Instead of processing language as a single linear sequence, TIM structures problems into recursive reasoning trees. This allows subtasks to operate with their own dynamic "working memory," accessing only the most relevant context for the job. This innovative approach improves reasoning accuracy and efficiency, especially for complex tasks requiring multiple steps or tool use. TIM is specifically trained for this decompositional problem-solving, generating highly structured reasoning paths.
Paper URL: https://huggingface.co/papers/2507.16784

#AI #MachineLearning #DeepLearning #LLM #AIReasoning #ContextWindow #TIM