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Large Language Model (LLM) has recently started to find their foot in the business, and it will expand even further. As the company began understanding the benefits of implementing the LLM, the data team would adjust the model to the business requirements.
The optimal path for…
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With the evolving digital landscape, a wealth of data is being generated and captured from diverse sources. While immensely valuable, this vast universe of information often reflects the imbalanced distribution of real-world phenomena. The problem of imbalanced data is not merely a statistical challenge; it has far-reaching implications for the accuracy and reliability of…
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Ever wonder how people generate such hyper-realistic faces using AI image generation while your own attempts end up full of glitches and artifacts that make them look obviously fake? You've tried tweaking the prompt and settings but still can't seem to match the quality you see others producing.…
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Key Takeaways
Chain of Code (CoC) is a novel approach to interacting with language models, enhancing reasoning abilities through a blend of code writing and selective code emulation.
CoC extends the capabilities of language models in logic, arithmetic, and linguistic tasks, especially those requiring…
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If you want to make a career in data science or software engineering, Python is a great first language to learn. So where do you start?
To help you decide, we’ve compiled a list of Python Programming courses—taught at some of the best universities from around the world.…
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The connection between artificial intelligence and human intimacy can often be a controversial topic, and perhaps a subject most would expect to see solely in science fiction movies.
However, taking a step back and looking at the times we’re living in — in which driverless cars, advanced…
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If you know how to create a machine learning decision tree, congratulations, you have the same level of code expertise as ChatGPT and the thousands of other data scientists competing for the job you want.
One fascinating trend among hiring managers lately is that raw coding ability just…
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This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning • An exploration of NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists • And much, much more!
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Few data concepts are more polarizing than ETL (extract-transform-load), the preparation technique that has dominated enterprise operations for several decades. Developed in the 1970s, ETL shined during an era of large-scale data warehouses and repositories. Enterprise data teams centralized data, layered reporting systems and data science models on…
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In the era of advanced language model applications, developers and data scientists are continuously seeking efficient tools to build, deploy, and manage their projects. As large language models (LLMs) like GPT-4 gain popularity, more people are looking to leverage these powerful models in their own applications. However,…