Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker

This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models (LLMs) is the first step in developing powerful AI systems that can understand and generate human-like text. By exposing models to vast amounts of diverse data, pre-training lays the groundwork for LLMs to learn general language patterns, world knowledge, and […]

Time series forecasting with Amazon SageMaker AutoML

Time series forecasting is a critical component in various industries for making informed decisions by predicting future values of time-dependent data. A time series is a sequence of data points recorded at regular time intervals, such as daily sales revenue, hourly temperature readings, or weekly stock market prices. These forecasts are pivotal for anticipating trends […]

Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock

In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Onboarding new customers in the banking industry is a crucial step in the customer journey, involving a series of activities designed to fulfill know your customer (KYC) requirements, […]