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GSM8K Dataset Papers With Code

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Descrição
GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. The dataset is segmented into 7.5K training problems and 1K test problems. These problems take between 2 and 8 steps to solve, and solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the final answer. A bright middle school student should be able to solve every problem. It can be used for multi-step mathematical reasoning.
GSM8K Dataset Papers With Code
2023-5-28 arXiv roundup: 994 papers, beating RLHF with 1000 good examples, LoRA with way less RAM, Multi-epoch scaling
GSM8K Dataset Papers With Code
Darren Angle on LinkedIn: 3 quick prompt engineering tips for better outputs from large language…
GSM8K Dataset Papers With Code
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
GSM8K Dataset Papers With Code
ToRA: a tool-integrated reasoning agent for mathematical problem solving, surpassing prior open source models on 10 mathematical reasoning datasets : r/LocalLLaMA
GSM8K Dataset Papers With Code
Papers Explained 80: Gemini 1.0. Gemini is a family of highly capable…, by Ritvik Rastogi, Dec, 2023
GSM8K Dataset Papers With Code
DeepMind Studies Process- vs Outcome-based Model Supervision, Significantly Reducing Reasoning Errors on Math Word Problems, by Synced, SyncedReview
GSM8K Dataset Papers With Code
GSM8K Benchmark (Arithmetic Reasoning)
GSM8K Dataset Papers With Code
GSM8K Benchmark (Math)
GSM8K Dataset Papers With Code
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition – arXiv Vanity
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