Model

Segmentation at Scale to Enable Higher Health Outcomes Motivation TLDR; the Model and Segmentation Logic Technical Considerations Conclusion

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...

Scaling laws for reward model overoptimization

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...

Case Study: Applying a Data Science Process Model to a Real-World Scenario 1. Domain and project description 2. Data provision 3. Evaluation 4. Deployment 5. (Application) Use and summary References

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...

AI21 Labs releases next-generation language model ‘Jurassic-2’

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...

Recent and improved embedding model

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...

Cognitive scientists develop latest model explaining difficulty in language comprehension

Cognitive scientists have long sought to grasp what makes some sentences harder...

Model Evaluation in Time Series Forecasting

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...

Microsoft’s computer vision model will generate alt text for Reddit images

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,”...

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