|
You are here |
www.anyscale.com | ||
| | | | |
anyscale-staging.herokuapp.com
|
|
| | | | | A case study of Direct Preference Optimization (DPO) with synthetic data on Anyscale | |
| | | | |
blog.fastforwardlabs.com
|
|
| | | | | By Chris and Melanie. The machine learning life cycle is more than data + model = API. We know there is a wealth of subtlety and finesse involved in data cleaning and feature engineering. In the same vein, there is more to model-building than feeding data in and reading off a prediction. ML model building requires thoughtfulness both in terms of which metric to optimize for a given problem, and how best to optimize your model for that metric! | |
| | | | |
neptune.ai
|
|
| | | | | Reinforcement learning from human feedback has turned out to be the key to unlocking the full potential of today's LLMs. | |
| | | | |
www.cocinandoconcatman.com
|
|
| | | |||