Description
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsSummary
This research investigates how large language models (LLMs) perform arithmetic tasks. Instead of using complex algorithms or memorizing training data, the authors discovered that LLMs rely on a "bag of heuristics". These heuristics are simple rules or patterns learned from the training data that are applied to specific numerical inputs. The study shows that these heuristics emerge gradually during the model's training process and are the primary mechanism for arithmetic reasoning even in early stages.
原文链接:https://arxiv.org/abs/2410.21272
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into OneSummary
This paper proposes a new approach to training vision foundation models (VFMs) called AM-RADIO, which agglomerates the unique strengths of multiple pretrained...
Published 11/27/24
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMsSummary
This research paper investigates how the numerical precision of a Transformer-based Large Language Model (LLM) affects its ability to perform mathematical reasoning...
Published 11/26/24