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Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. ...

Cohere Command R and R+ are now available in Amazon SageMaker JumpStart | Amazon Web Services

This blog post is co-written with Pradeep Prabhakaran from Cohere.  Today, we are excited to announce that...

Revolutionizing large language model training with Arcee and AWS Trainium | Amazon Web Services

This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee. In recent...

Banks Embrace Cloud, AI to Innovate and Tap Partnership Opportunities – Fintech Singapore

by Fintech News Singapore April 29, 2024 The banking industry is shifting towards innovation, collaboration and customer-centricity, driven by the adoption of technologies including cloud computing,...

Sam Altman, Satya Nadella Join High-Powered AI Safety Board for Homeland Security – Decrypt

The U.S. Department of Homeland Security (DHS) has enlisted a broad slate of AI industry leaders to establish the Artificial Intelligence Safety and Security...

Databricks DBRX is now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce that the DBRX model, an open, general-purpose large language model (LLM) developed by Databricks, is available for customers...

Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document | Amazon Web Services

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely...

Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint | Amazon Web Services

Speaker diarization, an essential process in audio analysis, segments an audio file based on speaker identity. This post delves into integrating Hugging Face’s PyAnnote...

Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS | Amazon Web Services

Organizations across industries are using automatic text summarization to more efficiently handle vast amounts of information and make better decisions. In the financial sector,...

Gripped by Python: 5 reasons why Python is popular among cybersecurity professionals

Secure Coding Python’s versatility and short learning curve are just two factors that...

Enhance conversational AI with advanced routing techniques with Amazon Bedrock | Amazon Web Services

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With...

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering | Amazon Web Services

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume...

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