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The shift left fallacy

Xebia

When I started computer science in 1999 the professors stated that a lot of money and failure are spared with a good design. Early was defined as the moment preceding the software design process, this in contrast to it being part of the software design process. This reasoning is very reasonable.

DevOps 130
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Language Models, Explained: How GPT and Other Models Work

Altexsoft

You will learn this and more in our post. Put it simply, a model tries to predict the next most appropriate word to fill in a blank space in a sentence or phrase, based on the context of the given text. In 2020, a remarkable AI took Silicon Valley by storm. With these advances, the concept of language modeling entered a whole new era.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

BloombergGPT: Jane Fraser GPT-NeoX: Michael L Corbat, Michael L Corbat, Michael L Corbat FLAN-T5-XXL: Christian Sewing, John M Forsyth, John M Forsyth This post provides a guide to training LLMs specifically for the financial domain. To develop financial LLMs, you can use two important data sources: News CommonCrawl and SEC filings.

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Understanding Software

Code Simplicity

It’s called Understanding Software. The book contains all of the content that I’ve written on software development and working in teams since the publication of Code Simplicity , plus some entirely new content that’s never been published anywhere. Clues to complexity – and how to build excellent software.

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Creating Human-like Conversations with NLP Chatbots and Voice Bots

Sunflower Lab

Machines are designed for our comfort, not to complicate our lives. Let’s take an example, in the sentence “Bill Gates and Paul Allen founded Microsoft on April 4, 1975, in Albuquerque.”, In today’s landscape, chatbots and voice bots are present everywhere. But why is this the case? So, what has changed? Why do machines need NLP?

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Seven Legal Questions for Data Scientists

O'Reilly Media - Ideas

Although many organizations wait until there’s an incident to call in legal help, compliance by design saves resources and reputations. Examples: Alleged discrimination in credit lines ; Poor experimental design in healthcare algorithms. Examples: Training data violates new state privacy laws ; AI designed to violate privacy.

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Improving Our Typography to Optimize the Honeycomb User Experience

Honeycomb

This is the second post in our series about Lattice, Honeycomb’s new design system and how we’re applying a user-centric design philosophy to our product. . At the end of 2020, Honeycomb’s Design Team began working on Lattice, our new design system. Lattice is Honeycomb’s new design system. Lattice begin!

UI/UX 52