At League it's our mission to empower people to live happier, healthier lives. With the intention to best serve our members it's imperative that we're in a position to predict their individual level of...
In reinforcement learning from human feedback, it is not uncommon to optimize against a reward model trained to predict human preferences. Since the reward model is an imperfect proxy, optimizing its value an excessive...
Development of a machine learning model for materials planning in the availability chainIn today’s rapidly changing environment, some of the critical challenges facing corporations is the flexibility to predict future demand accurately. This is...
Israeli startup AI21 Labs has released a large-scale language model (LLM) called Jurassic-2, VentureBeat reported on the ninth (local time).
With a vision to make artificial intelligence (AI) a human thought partner, AI21 Labs is...
Unification of capabilities. We've got significantly simplified the interface of the /embeddings endpoint by merging the five separate models shown above (text-similarity, text-search-query, text-search-doc, code-search-text and code-search-code) right into a single recent model. This single representation performs higher than our previous...
Introducing backtesting for time series using the Skforecast libraryBelow, there are the three described backtesting methods with a random forest regressor used as autoregression.When taking a look at the implementation, the difference between the...
Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of contemporary computer vision models. Unlike most vision models on the time, Florence was each “unified” and “multimodal,”...