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Distributed systems are complex by nature.
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In Part One of the “Understanding Generative AI” series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks.
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„The Library of Babel“ is my favorite short story from Jorge Luis Borges, and probably in a top 5 of my favorite short stories overall.
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No time to read?
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TL;DR: I used Phoenix LiveView to develop a simple planning poker app and found it exceptionally well-suited for the task.
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It’s easy to make mistakes when dealing with date and time information.
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Artificial Intelligence is the latest and most revolutionary tool in today’s fast-changing technological landscape, which has the potential to redefine how we work, communicate, and innovate.
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Welcome to the first article in a series that aims to provide a clear understanding of how modern AI models function.
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One aspect I appreciate about working with AWS is its throve of fully managed, infinitely scalable services like DynamoDB, Lambda, SNS/SQS, S3, etc.
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While HTTP/3 specification is still in the draft stage, the latest version of the Chrome browser already supports it by default.
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When a tech company needs a skilled developer to work on a complex task, they naturally tend to look for somebody who has done the same thing before.
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Full disclosure: things discussed in this post are, to be frank, quite obvious.
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I dabbled in Phoenix for a while now, but never really got my hands dirty with it right up until now.
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VPC is the topic that flies under the radar of many Software Developers, despite being present in every AWS account (well, maybe not for accounts created before 2009… But that’s unlikely).
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Kubernetes appears to be a de-facto standard platform for running distributed containerized applications in 2019.