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 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 …
Time series forecasting with Amazon SageMaker AutoML Read More »
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, …
Here are seven of Google’s latest AI updates from September.
Despite the proliferation of information and data in business environments, employees and stakeholders often find themselves searching for information and struggling to get their questions answered quickly and efficiently. This can lead to productivity losses, frustration, and delays in decision-making. A generative AI Slack chat assistant can help address these challenges by providing a readily …
Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra Read More »
In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. Agents can interact with users, perform tasks, and exhibit decision-making abilities, mimicking humanlike intelligence. By combining agents with foundation models (FMs) from the Amazon Titan in Amazon Bedrock family, customers can …
This post is co-written with Dean Steel and Simon Gatie from Aviva. With a presence in 16 countries and serving over 33 million customers, Aviva is a leading insurance company headquartered in London, UK. With a history dating back to 1696, Aviva is one of the oldest and most established financial services organizations in the …
How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker Read More »
This post is co-written with Ike Bennion from Visier. Visier’s mission is rooted in the belief that people are the most valuable asset of every organization and that optimizing their potential requires a nuanced understanding of workforce dynamics. Paycor is an example of the many world-leading enterprise people analytics companies that trust and use the …
Generative AI models can produce information on a wide range of topics, but their application brings new challenges. These include maintaining relevance, avoiding toxic content, protecting sensitive information like personally identifiable information (PII), and mitigating hallucinations. Although foundation models (FMs) on Amazon Bedrock offer built-in protections, these are often model-specific and might not fully align …
Implement model-independent safety measures with Amazon Bedrock Guardrails Read More »
Voice input in Google Lens lets you make your voice heard as you search. Here’s how to use this new feature.
