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AWS Machine Learning Blog
SEPTEMBER 19, 2023
Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance. One of the ways to handle multi-modal data that is gaining popularity is the use of multi-modal agents. Detecting fraudulent collusion across data types requires multi-modal analysis.
AWS Machine Learning Blog
MAY 10, 2023
Examples of such use cases include scaling up a feature engineering job that was previously tested on a small sample dataset on a small notebook instance, running nightly reports to gain insights into business metrics, and retraining ML models on a schedule as new data becomes available.
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AWS Machine Learning Blog
MAY 22, 2023
Models can also be trained in a supervised fashion using labeled data to accomplish a set of tasks (for example, is this movie review positive, negative, or neutral). Whether the model is trained for text completion or some other task, it is frequently not the task customers want to use the model for. 2] to fine-tune the model.
AWS Machine Learning Blog
APRIL 18, 2023
One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP).
AWS Machine Learning Blog
APRIL 18, 2023
One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP).
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