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.
Papers Explained 55: LLaMA. LLaMA is a collection of foundation…, by Ritvik Rastogi, DAIR.AI
Papers with Code
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
TensorFlow Datasets
WizardMath - Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct - AI Papers Academy
GPT-4 wins the new SOTA of the most difficult mathematical reasoning data set, and the new Prompting makes the reasoning ability of large models soar, by Yaokun Lin @ MachineLearningQuickNotes
GSM8K Dataset Papers With Code
ArxivPapers Dataset
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
Phi-1.5: 41.4% HumanEval in 1.3B parameters (model download link in comments) : r/LocalLLaMA
2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Large Language Models as Optimizers Explained, by Minhajul Hoque
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
GPTs: The Future of AI SaaS - by Shubham Saboo - Unwind AI
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