Prompt Engineering AI for Modular Python Dashboard Creation
Author(s): John Loewen, PhD Originally published on Towards AI. Prompting GPT-4 to visualize global happiness data with Plotly This member-only story is on us. Upgrade to access all of Medium. Effective, prompt engineering with AI can significantly speed up the Python …
Unlocking the Potential of Text: A Closer Look at Pre-Embedding Text Cleaning Methods
Author(s): Shivamshinde Originally published on Towards AI. This article will discuss different cleaning techniques that are essential to obtain maximum performance from textual data. Photo by Amador Loureiro on Unsplash For the demonstration of the text cleaning methods, we will use the …
10 Sklearn Treasure Features Overlooked By 99% of Online Courses
Author(s): Bex T. Originally published on Towards AI. Buried in the docs. Waiting to be found. Image by me with Midjourney I’ve written more than two dozen articles on Sklearn, but it hasn’t always been my favorite library. In fact, because of …
Forget PIP, Conda, and requirements.txt! Use Poetry Instead And Thank Me Later
Author(s): Bex T. Originally published on Towards AI. Pain-free dependency management is finally here Image by me with Midjourney Library A requires Python 3.6. Library B relies on Library A but needs Python 3.9, and Library C depends on Library B but …
Efficient Testing of Your Python Code With Pytest
Author(s): Janik and Patrick Tinz Originally published on Towards AI. TESTING AND PROGRAMMING Photo by Douglas Lopes on Unsplash Do you often look for errors in software components that could prevent with a better testing strategy? Sometimes you or a colleague change …
Data Science Roadmap: From Beginner to Pro with ChatGPT
Author(s): Gencay I. Originally published on Towards AI. Harnessing the Power of ChatGPT and Python in Your Data Science Journey: A Comprehensive Roadmap. Image created in LeonardoAI Probably, you encountered one of my previous articles about Data Science but be aware that …
Evaluate and Monitor the Experiments With Your LLM App
Author(s): Konstantin Rink Originally published on Towards AI. Evaluation and tracking of your LLM experiments with TruLens This member-only story is on us. Upgrade to access all of Medium. Photo by Jonathan Diemel on Unsplash The development of a Large Language Model …
PatchTST — A Step Forward in Time Series Forecasting
Author(s): M. Haseeb Hassan Originally published on Towards AI. Gain a practical understanding of the PatchTST algorithm and its application in Python, along with N-BEATS and N-HiTS, by transitioning from theoretical knowledge to hands-on implementation. PatchTST — A Step Forward in Time …
Meet MPT-30B: A Fully OpenSouce LLM that Outperforms GPT-3
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Forget LAMP Stack: LLM stack is here! The Community has run with MPT-7B, which was downloaded over 3M times. Within a month, the community has created. LLaVA-MPT adds vision understanding to …
DEEP LEARNING REVOLUTION: Unveiling the Potential of CONVOLUTIONAL NEURAL NETWORKS (CNNs) in Brain Tumor Detection
Author(s): Data Science meets Cyber Security Originally published on Towards AI. “From Basics to Advanced Techniques: A Comprehensive Guide and Case Study in Medical Image Analysis” SOURCE: https://gencraft.com/ INTRODUCTION: Welcome, curious minds, to a captivating journey that intertwines medicine, technology, and the …
What Should AI Learn from the Randomness in Financial Data?
Author(s): Shunyu (Andy) Tang Originally published on Towards AI. The Magic Power of Voting to Increase the Accuracy of Predictions from 60% to 90% Photo by Paul Wong on Unsplash Artificial Intelligence (AI) has entered an exponential growth phase since 2012. If …
The Secret Python Skills That Separate Good Data Scientists from Great Ones
Author(s): Gencay I. Originally published on Towards AI. Conclusion Created in LeonardoAI In the fascinating realm of Data Science and Machine Learning, proficiency in Python has emerged as an invaluable skill. Beyond a solid understanding of Python, mastering certain Python abilities can …
Forget LAMP Stack: LLM Stack is Here!
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Huggingface has positioned itself as the new standard stack in the NLP/LLM ecosystem. Now the companies are asking for an LLM stack. Top highlight On the may of last year, Huggingface …
How OpenAI’s New Function Calling Breaks Programming Boundaries
Author(s): Skanda Vivek Originally published on Towards AI. New OpenAI ChatGPT/GPT-4 function calling bridges the gap between deterministic and non-deterministic programming — leading to all sorts of possibilities interface between a well-defined city and abstract clouds U+007C Bing Image Creator A couple …
Bootstrap: A beginner-friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
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