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Nigeria’s Decagon raises millions to finance and train software engineers

TechCrunch

This past decade, Nigeria has seen several companies cater to the development and growth of software engineers and tech talent in general. That’s what Decagon hopes for by training and connecting engineers to work remotely with both local and international companies. Canada, the U.K., and Germany.

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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. The insatiable demand for software. Because someone made the economic decision that the cost of building that software was too high.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks.

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#ClouderaLife Spotlight: Margot Tien, Software Engineer

Cloudera

Margot is a software engineer on the Cloudera Data Flow Experience team, but for about a decade she worked in the fashion design industry. He referred her to Cloudera university recruiting, which ultimately led to an interview. . The post #ClouderaLife Spotlight: Margot Tien, Software Engineer appeared first on Cloudera Blog.

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Software Engineer vs. Software Developer: Which is ‘Better’?

Openxcell

One of the biggest questions that has popped continuously over the past decade is whether Software Engineers and Software Developers are the same or not. So, in this article, we are trying to shed some light on the basic concepts surrounding Software Engineer vs. Software Developer.

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Expectations vs. reality: A real-world check on generative AI

CIO

Similarly, Estée Lauder sees value from pilots like an internal chatbot trained on customer insights, behavioral research, and market trends to make those analytics more broadly available in the business, but is still working on how to actually deliver that value. Have you had training? Are you motivated to get involved?

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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning - AI

In this post, we summarize the new enhancements, and guide you through the process of training a model and providing recommendations for your users. Lower latency – The lower inference latency and faster training times for large datasets of these new recipes can reduce the delay for your end-users. Now you’re ready to train your model.