Search Results for author:
Found 6 papers, 2 papers with code
Orca 2: Teaching Small Language Models How to Reason
Research on training small LMs has often relied on imitation learning to replicate the output of more capable models.
Ranked #1 on
Crass AI
on BIG-bench
Automatic Pair Construction for Contrastive Post-training
Remarkably, our automatic contrastive post-training further improves the performance of Orca, already a state-of-the-art instruction learning model tuned with GPT-4 outputs, to outperform ChatGPT.
Lexi: Self-Supervised Learning of the UI Language
Along with text, these resources include visual content such as UI screenshots and images of application icons referenced in the text.
Leveraging semantically similar queries for ranking via combining representations
In modern ranking problems, different and disparate representations of the items to be ranked are often available.
Learning without gradient descent encoded by the dynamics of a neurobiological model
The success of state-of-the-art machine learning is essentially all based on different variations of gradient descent algorithms that minimize some version of a cost or loss function.
