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Shutting Down My Job Board for Software Engineering Positions After 2.5 Years

The Pragmatic Engineer

Context My initial motivation with the job board was to add a kind of "helpful monetization" to both my blog, and The Pragmatic Engineer Newsletter. In the blog – and at the end of all free newsletter issues – jobs posted by customers of the job board were shown. Companies can then message these vetted candidates!

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GPT and LLMs from a Data Engineering Perspective

Jesse Anderson

Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. The utility of LLMs is more narrow (as opposed to AI in general). The utility of LLMs is more narrow (as opposed to AI in general). that summarizes blog posts using LLMs. Is it here to stay? Yes, I think it is.

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A Notebook is all I want or Don't

Data Engineering Weekly

There is a lot of context missing in that tweet, so I decided to write a blog about it. Why Not Notebook in Prod? Code Execution Flow The code execution flow in typical Python programming differs from the driven execution model. The tweet received strong reactions on LinkedIn and Twitter. Where Notebook Shines?

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10 Practical Generative AI Examples to be More Productive

Edureka

Despite being the focal point of the current tech market, it won’t be wrong to say that most of us have yet to harness the full potential of generative AI. Especially when it comes to various implementations and examples of generative AI. So, what is the best way to utilise generative AI’s competencies?

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How Financial Services Should Prepare for Generative AI

Snowflake

Gen AI/LLMs have both long-term benefits and risks. In this blog post, we’ll walk through what the actual capabilities of LLMs are, and the steps financial organizations should take to harness this technology effectively and safely. How do Gen AI/LLMs “democratize” access to insights? But what will that look like?

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The Changing World in Life, IT, Software Testing and Artificial Intelligence by Lisa Perrett

Scott Logic

Introduction This blog is a unique exploration identifying the intersection of IT and Psychology. It demonstrates the dynamic relationship between working in the IT industry and the human behaviour of how we perceive and implement change. Why are we expected to change? Do we even like the change that is right in front of us?

IT 52
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Data Engineering Weekly #161

Data Engineering Weekly

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system. 4) Building Data Products and why should you?