The role of a software engineer is no longer confined to manual coding; it now encompasses collaboration with AI tools.

What’s the real difference?

As an electrical engineer turned historian who now studies engineers of the past, I have a good sense of how the engineering profession evolved. And what I've learned is this: Engineers have long…

4 strategies for managing one’s career and personal life

Top pick SQL course: DataCamp Data Engineer in SQL (https://datacamp.pxf.io/QjGbzz)

In this video, I break down why SQL is still the most in-demand skill, how AI tools like ChatGPT fit in, and what tools (like Postgres, BigQuery, and Snowflake) you should…

While SWE-1 marks the company’s first entry into frontier model development, Windsurf plans to continue expanding its AI research and development.

Bertrand Piccard, a modern explorer, aims to make history again by flying a green-hydrogen fuel-cell aircraft around the world nonstop by 2028. Known for his environmental missions, Piccard's journey…

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Women are leaving the U.S. semiconductor industry. What can be done to retain them?

“99.9% of toppers in JEE (Advanced) had chosen computer science and engineering.”

From manual voter registration to real-time results, Steve Adeshina used tech to transform Nigeria's elections. Discover how he made it happen.

Learn how Grab is modernising its machine learning platform with a feature table-centric architecture powered by AWS Aurora for Postgres. This shift from a legacy feature fetching system to…

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In this video, I show you how to use LangExtract to generate high-quality metadata for your Retrieval Augmented Generation (RAG) system. By extracting structured data from unstructured documents, we can filter results more effectively and drastically improve…

Embrace your inner software developer The post Reducing Time to Value for Data Science Projects: Part 4 appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

In the early days of large language models (LLMs) like GPT-3, prompt engineering emerged as the most popular and sought after skill. By carefully crafting instructions, users could elicit intelligent responses from models with limited memory and no real-world…

Grab has embarked on a transformative journey to overhaul its enterprise data ecosystem, addressing challenges posed by the rapid growth of its business spanning across ride-hailing, food delivery, and financial services. With the increasing complexity of…

Part 2: Prompt Engineering for Features, Modeling, and Evaluation The post Advanced Prompt Engineering for Data Science Projects appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Facing setbacks and soaring costs, Nigerian students learn resilience in their drone project. How did they adapt and overcome challenges?