Tag: Jupyter
How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services
This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com.
As a global leader in...
“Not Hype: SOLD OUT Quantum Concerts” by Brian Siegelwax – Inside Quantum Technology
By Guest Author posted 07 Feb 2024 Prof. Eduardo Miranda and the University of Plymouth’s Interdisciplinary Centre for...
Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart | Amazon Web Services
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of...
Quantum News Briefs: January 22, 2024: Academia Sinica Institute of Physics Launches Quantum computer with 5-qubit chips; QuantERA initiative announces the 24 winners from...
By Kenna Hughes-Castleberry posted 22 Jan 2024 Quantum News Briefs: January 22, 2024:
Academia Sinica Institute of Physics Launches...
Adapting Security to Protect AI/ML Systems
Artificial intelligence (AI) isn't just the latest buzzword in business; it's rapidly reshaping industries and redefining business processes. Yet as companies race to integrate...
Create a document lake using large-scale text extraction from documents with Amazon Textract | Amazon Web Services
AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage...
Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services
This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination...
Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services
Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact...
Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator | Amazon Web Services
This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. Artificial intelligence (AI) and machine...
Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools | Amazon Web Services
Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based...
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart | Amazon Web Services
Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI...
Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock | Amazon Web Services
Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large...