Remove Continuous Learning Remove DevOps Remove NLP
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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

The use of multiple external cloud providers complicated DevOps, support, and budgeting. Operational consolidation and reliability Post-migration, our DevOps and SRE teams see 20% less maintenance burden and overheads. These operational inefficiencies meant that we had to revisit our solution architecture.

DevOps 83
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Breaking Down the O’Reilly 2024 Tech Trends Report

Unite.AI

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. This spike in NLP underscores its central role in the development and application of generative AI technologies.

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How MLOps is Transforming AI Deployment and Management in the Real World

Mlearning.ai

It handles everything from initial creation of the model to successful deployment and continuous learning. Extension Of Devops MLOps is an extension of DevOps. DevOps aims to streamline the development and operation of software applications, while MLOps focuses on the machine learning lifecycle.

DevOps 52
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Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning Blog

Each request/response interaction is facilitated by the AWS SDK and sends network traffic to Amazon Lex (the NLP component of the bot). Shuyu Yang is Generative AI and Large Language Model Delivery Lead and also leads CoE (Center of Excellence) Accenture AI (AWS DevOps professional) teams.

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Introducing the Amazon Comprehend flywheel for MLOps

AWS Machine Learning Blog

Solution overview Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. 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.

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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning Blog

Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Amazon Kendra with foundational LLM Amazon Kendra is an advanced enterprise search service enhanced by machine learning (ML) that provides out-of-the-box semantic search capabilities.