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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Introduction. Edge computing and more generally the rise of Industry 4.0 Solution Overview.

IoT 69
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Growing digital product development trends in 2023

Modus Create

You don’t have to provision servers to run apps, storage systems, or databases at any scale. You don’t have to provision servers to run apps, storage systems, or databases at any scale. All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform.

Trends 75
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Cloud-Side Development For All with Stackery’s Free Tier

Stackery

While we’ve been at this for a while, it’s worth reviewing where development workflows came from and what’s changing. While we’ve been at this for a while, it’s worth reviewing where development workflows came from and what’s changing. How Software Development in the Cloud Has Changed. You Can’t Replicate AWS on Your Laptop.

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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

AWS Machine Learning - AI

Converting the logical meaning of these user queries into a database query can lead to overly long and complex SQL queries due to the original design of the data schema. As a result, NL2SQL solutions for enterprise data are often incomplete or inaccurate.

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Fine-tune large language models with reinforcement learning from human or AI feedback

AWS Machine Learning - AI

Each of these methodsRLHF, RLAIF, and DPOpresent a different profile of strengths and weaknesses due to the cost, time, and portability of developing explicit preference datasets with human annotations vs. reward models. This leads to responses that are untruthful, toxic, or simply not helpful to the user. Recently, Lee et al.