Orca 2: Enhancing Reasoning in Smaller Language Models - Example from Benchmarks and Output

31/05/2024 1 min
Orca 2: Enhancing Reasoning in Smaller Language Models - Example from Benchmarks and Output

Listen "Orca 2: Enhancing Reasoning in Smaller Language Models - Example from Benchmarks and Output"

Episode Synopsis



This story was originally published on HackerNoon at: https://hackernoon.com/orca-2-enhancing-reasoning-in-smaller-language-models-example-from-benchmarks-and-output.
Orca 2 enhances small language models' reasoning by teaching diverse strategies for tasks, outperforming models up to 10x larger in complex benchmarks.
Check more stories related to programming at: https://hackernoon.com/c/programming.
You can also check exclusive content about #language-models, #orca-2, #reasoning-techniques, #machine-learning, #small-models, #imitation-learning, #ai-benchmarks, #model-training, and more.


This story was written by: @textmodels. Learn more about this writer by checking @textmodels's about page,
and for more stories, please visit hackernoon.com.



Teaching Orca 2 to be a Cautious Reasoner is based on the work of Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andres Codas, Guoqing Zheng, Corby Rosset, Hamed Khanpour, and Ahmed Awadall.


More episodes of the podcast Programming Tech Brief By HackerNoon