In the age of AI, Fine Tuning Large Language Models (LLMs) like have revolutionized how businesses operate. These LLMs can generate human-like text, analyze vast datasets, and support complex decision-making. But not all companies can use off-the-shelf LLMs directly. This is where fine-tuning comes in, allowing businesses to customize LLMs for their specific needs. In […]
Have you noticed how Siri understands your request effortlessly and how Netflix seems to know exactly what you’ll want to watch next? These simple interactions are not magic or coincidence, but are the common application of Artificial Intelligence. AI influences every aspect of our lives. We interact with it every day, whether during exercise, work, […]
Welcome to the fourth blog in WeCloudData’s Prompt Engineering Series! In the previous blog we explored basic prompt engineering techniques, such as zero-shot prompting and few-shot prompting. These techniques are effective in helping large language models to produce contextually relevant output. This blog is an introduction to a more advanced technique known as chain of […]
For those of you who read my last blog, I looked at how the data science job market had performed in 2023 – at least since August when the data collection began. The end of the calendar year provided a fitting moment to take a step back and assess what had transpired in the ensuing […]
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Ringing in the New Year: Reflecting on the 2023 Data Science Job Market and Embracing 2024’s Opportunities Well, Christmas has come and gone and so has another year. And as we, WeCloudData, turn the page on 2023 and busy ourselves with all the New Year’s resolutions we’ll ultimately abandon in a couple of weeks, there […]
The blog is posted by WeCloudData’s student Luis Vieira. I will be showing how to build a real-time dashboard on Amazon Webservices for two different use cases, and a registry of open data from New York City Taxi and Limousine Commission (TLC) Trip Record Data. By the end you should have a Kibana Dashboard as following: […]
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