Top Important LLM Papers for the Week from 04/12 to 10/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
AI Renaissance: Fueling Job Growth in the Digital Age
Author(s): Jacob Ingle Originally published on Towards AI. Why I believe AI will create more jobs than it destroys and how I use it in my daily lifePhoto by Possessed Photography on Unsplash The development of full artificial intelligence could spell the …
Introduction to Nixtla for Demand Forecasting.
Author(s): Alexandre Warembourg Originally published on Towards AI. Through the M5 Demand Forecasting Competition, learn how to use the Nixtla forecasting package. Accurate forecasting plays a critical role in making informed decisions and staying ahead of the competition in todayβs rapidly changing …
The Curse Of Dimensionality in KNN Classifiers
Author(s): Tim Cvetko Originally published on Towards AI. Exploring the troublesome effect of βhigh-dimensionalityβ in clustering algorithmsSource: https://scipy-lectures.org/packages/scikit-learn/auto_examples/plot_iris_knn.html In this article, weβll be exploring the effect of curse dimensionality in the KNN algorithm, starting out with a brief overview of how the …
Top Important Computer Vision Papers for the Week from 04/12 to 10/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Make Any* LLM fit Any GPU in 10 Lines of Code
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. An ingenious way of running models larger than the VRAM of the GPU. It may be slow but it freaking works! Who has enough money to spend on a GPU with …
Mistral AI: (8x7b) Releases First Ever Opensource Model Of Experts (MoE) Model
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Mistral continues their commitment to the Open Source World by releasing the first 56 billion token model (8 models, 7 billion tokens each) via a Torrent !! A few days ago, …
Why OpenHermes-2.5 Is So Much Better Than GPT-4 And LLama2 13B β Here The Result
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. the AI news in the past 7 days has been insane, with so much happening in the world of AI So, In this Article, weβre diving into some of the latest AI developments …
Programming a Neural Network Tutorial: Vintage Style
Author(s): Adam Ross Nelson Originally published on Towards AI. Underlying math of neural networks by studying our predecessorβs ways One of the first to describe neural networks was neurophysiologis Warren McCulloch and mathematician Walter Pitts, as a model for biological brains. In …
Exploratory Data Analysis (EDA) on Text Data with Python
Author(s): Davide Nardini Originally published on Towards AI. Exploratory Data Analysis (EDA) is the first step of a Machine Learning Project on Text Data with Python code and snippets.Image from Unplash Exploratory Data Analysis (EDA) represents the initial step in a Machine …
Sketching the Future of Tabular Data Exploration And Research
Author(s): Kirill Lepchenkov Originally published on Towards AI. For those doing exploratory data analysis on tabular data: there is Sketch, a code-writing assistant that seamlessly integrates bits of your dataframes into promptsIβve made this map using Sketch, Jupyter, Geopandas, and Keplergl For …
How to Fine-tune EasyOCR to achieve better OCR performance
Author(s): Eivind Kjosbakken Originally published on Towards AI. OCR is a valuable tool when you want to extract text from images. Sometimes, however, the OCR you are using is not working as well as you want it to for your specific needs. …
Like Principal Components Analysis? New Paper Reports It Can Produce βPhantom Oscillationβ Artifacts
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. Principal Component Analysis (PCA), a widely used statistical method for simplifying complex datasets, has been found to produce βphantom oscillationsβ β patterns that appear in the data although they donβt exist in …
A Dual Augmented Two-tower Model for Online Large-scale Recommendation
Author(s): Saankhya Mondal Originally published on Towards AI. Recommendation systems are algorithms that are designed to provide personalized suggestions to users. These systems are employed in various domains to help users discover relevant items, such as products (e-commerce like Amazon), other users …
In-depth Handling/Imputation Techniques of Missing Values in Feature Transformation
Author(s): Amit Chauhan Originally published on Towards AI. Data imputation for machine learning and data science projectPhoto by Emile Perron on Unsplash As we know, machine learning algorithms are not very good with missing data. Part of feature engineering is transforming the …
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