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Democratizing AI: Exploring the Impact of Low/No-Code AI Development Tools

Unite.AI

No-code platforms allow a broader range of individuals, including business professionals and domain experts, to employ AI, expanding its application and innovation. For example, retailers deploy AI-driven chatbots built with low/no-code tools to engage with customers, recommend products, and handle inquiries efficiently.

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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

The success of this solution highlights AI’s potential to transform traditional agricultural practices, opening doors for further innovations across the sector. As Cropwise AI continues to evolve, efforts will focus on expanding capabilities, enhancing data integration, and maintaining compliance with shifting regulatory standards.

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Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

LLM 101
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Data storage and versioning You need data storage and versioning tools to maintain data integrity, enable collaboration, facilitate the reproducibility of experiments and analyses, and ensure accurate ML model development and deployment. Easy collaboration, annotator management, and QA workflows.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 120
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Bring your own AI using Amazon SageMaker with Salesforce Data Cloud

AWS Machine Learning Blog

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With her customer-first approach, Mani helps strategic customers shape their AI/ML strategy, fuel innovation, and accelerate their AI/ML journey.

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

By cultivating these three competencies, individuals can navigate the AI era with confidence and create their own irreplaceable value proposition. How can organizations ensure that AI tools are augmenting rather than replacing human workers? Another critical factor is to involve employees in the AI implementation process.