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Meet OpenCopilot: Create Custom AI Copilots for Your Own SaaS Product (like Shopify Sidekick)

Marktechpost

An AI Copilot is an artificial intelligence system that assists developers, programmers, or other professionals in various tasks related to software development, coding, or content creation. This will reduce the risk of data breaches and unauthorized access. Check out the GitHub and Documentation.

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Learn AI Together — Towards AI Community Newsletter #18

Towards AI

Meme shared by ghost_in_the_machine TAI Curated section Article of the week The Design Shift: Building Applications in the Era of Large Language Models by Jun Li A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development.

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Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor

AWS Machine Learning Blog

You should see two pipelines created: car-data-ingestion-pipeline and car-data-aggregated-ingestion-pipeline. You should see two pipelines created: car-data-ingestion-pipeline and car-data-aggregated-ingestion-pipeline. Choose the car-data-ingestion-pipeline.

ML 87
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Build well-architected IDP solutions with a custom lens – Part 6: Sustainability

AWS Machine Learning Blog

Effectively manage your data and its lifecycle Data plays a key role throughout your IDP solution. Starting with the initial data ingestion, data is pushed through various stages of processing, and finally returned as output to end-users. Amazon Textract requires at least 150 DPI.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

The teams built a new data ingestion mechanism, allowing the CTR files to be jointly delivered with the audio file to an S3 bucket. He has 20 years of enterprise software development experience. Dr. Nicki Susman is a Senior Data Scientist and the Technical Lead of the Principal Language AI Services team.

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Introducing the Amazon Comprehend flywheel for MLOps

AWS Machine Learning Blog

MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle. MLOps requires the integration of software development, operations, data engineering, and data science.

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Announcing the First Sessions for ODSC East 2024

ODSC - Open Data Science

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.