AWS Machine Learning

SEPTEMBER 1, 2023

Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. The final outcome will be aggregated results that combine the scores of all the outputs (calculate the average precision or human rating) and allow the users to benchmark the quality of the models.

Engineering 104

Engineering Accountability Construction APIs 104

AWS Machine Learning

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. and data_loader.py

Analytics 70

Analytics Healthcare Scripts Accountability 70

AWS Machine Learning

SEPTEMBER 6, 2023

Despite the great generalization capabilities of these models, there are often use cases that have very specific domain data (such as healthcare or financial services), because of which these models may not be able to provide good results for these use cases. The following table compares different methods with the three Llama 2 models.

Advertising 99

Advertising Coaching Benchmark Education 99