Remove 2016 Remove AWS Remove Database
article thumbnail

Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning Blog

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. simple_w_condition Movie In 2016, which movie was distinguished for its visual effects at the oscars? Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics.

article thumbnail

Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning Blog

Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on. AWS CloudFormation provides and configures those resources on your behalf, removing the risk of human error when deploying bots to new environments. Resources: # 1.

AWS 108
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer.

article thumbnail

Improving air quality with generative AI

AWS Machine Learning Blog

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.

AWS 122
article thumbnail

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning Blog

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. You can query using either the AWS Management Console or SDK. If you want to follow along in your own AWS account, download the file. In the Vector database section, choose Quick create a new vector store.

AWS 127
article thumbnail

Bundesliga Match Fact Keeper Efficiency: Comparing keepers’ performances objectively using machine learning on AWS

AWS Machine Learning Blog

While being the well-deserved Switzerland’s #1 since 2016, time will tell whether he pushes Manuel Neuer off the throne in Munich. Bundesliga and AWS have collaborated to perform an in-depth examination to study the quantification of achievements of Bundesliga’s keepers. And let’s not forget about Gregor Kobel.

article thumbnail

LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning Blog

Prerequisites To create and run this compound AI system in your AWS account, complete the following prerequisites: Create an AWS account if you dont already have one. Cost considerations Consider the following costs from the solution deployed on AWS: You will incur charges for LLM inference on Amazon Bedrock.

AI 81