Top Important LLMs Papers for the Week from 27/05 to 02/06
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 …
Automatic Trend Change Points Detection in Time Series Analysis
Author(s): Daniel Pollak Originally published on Towards AI. Photo by rc.xyz NFT gallery on Unsplash Lately, I’ve been extensively involved in analyzing high-frequency time series characterized by linear trends. My focus has been on developing a dependable and simple forecasting model, based …
Reduce Risks when Coding with AI, AI Consulting Opportunities, Mistral 7B Deep Dive #27
Author(s): Towards AI Editorial Team Originally published on Towards AI. Master the art of building LLMs with our 470+ page guide! Good morning, AI enthusiasts! The last couple of weeks have been super busy with some really interesting launches, like our book …
Top Important Computer Vision Papers for the Week from 27/05 to 02/06
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, …
Artificial General Ignorance and AI Bubble
Author(s): Fabio Matricardi Originally published on Towards AI. Overcome our own biases and start from ABC: a hard, inevitable path.image by the author and lexica.art Have you ever stopped to consider just how much you think you know about Artificial Intelligence? In …
Deepspeed ZeRO-DP: distributed training for large models
Author(s): Amina Shabbeer Originally published on Towards AI. Deepspeed’s ZeRO (Zero Redundancy Optimizer) is a distributed training framework with a number of optimizations to easily train large deep learning models across multiple GPUs and nodes. These optimizations reduce memory redundancy and communication …
Feature Selection and Generalization using Regularization
Author(s): Shahriar Hossain Originally published on Towards AI. An Overview of L1 and L2 Regularization Techniques and a Case Study on Feature Selection Using Neural NetworksSource: Image by the author. The image was drawn using Canva. Overfitting is a common challenge in …
Kolmogorov-Arnold Networks for Mathematical Discovery
Author(s): Shenggang Li Originally published on Towards AI. Exploring Prime Number Distribution and Predictive Modeling with KAN and Other Mathematical InsightsPhoto by Saad Ahmad on Unsplash In my previous paper, Unpacking Kolmogorov-Arnold Networks, I introduced the mechanism of KAN, a novel framework …
Here’s How to Create a Bar Chart Race in Minutes for Any Data
Author(s): Muhammad Saad Uddin Originally published on Towards AI. Before diving into this article, let me share a little story with you. I had two potential titles for this piece: “Building Dynamic Bar Chart Races for LLM Leaderboards in Python” and “Here’s …
How To Use Target Encoding in Machine Learning Credit Risk Models — Part 2
Author(s): Varun Nakra Originally published on Towards AI. In my previous story, Part 1 of this topic — https://medium.com/towards-artificial-intelligence/how-to-use-target-encoding-in-machine-learning-credit-risk-models-part-1-cf72f30f51a8 We covered the derivation of the expression of WoE using maximum likelihood. Now, we will apply it practically on a random dataset. import …
Month in 4 Papers (May 2024)
Author(s): Ala Falaki, PhD Originally published on Towards AI. This month, we explore optimizing model merging, fine-tuning supervision, autonomous coding, and selective token relevance in NLP. This series of posts is designed to bring you the newest findings and developments in the …
TensorFlow: The Hidden Gem of Data Science.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. I have been reading a lot of publications regarding data science for the past 3 years or so, and I honestly think that tensor flow is not getting the attention it deserves. This …
Build your own Large Language Model (LLM) From Scratch Using PyTorch
Author(s): Milan Tamang Originally published on Towards AI. A Step-by-Step guide to build and train an LLM named MalayGPT. This model’s task is to translate texts from English to Malay language. What will you achieve by the end of this post? You …
An Easy One Prompt Stunning Python Sunburst Dashboard With GPT4
Author(s): John Loewen, PhD Originally published on Towards AI. No-fuss beautiful Plotly sunburst chart with GPT-4 prompting Top highlight Sunburst chart representing UNHCR data (with assistance from Dall-E) GPT-4 is terrific for generating data cleaning and visualization code in Python. In combination …
Can Transformer Substitute Graph Neural Networks?
Author(s): Salvatore Raieli Originally published on Towards AI. Are transformers able to do graph reasoning and to which extent?image generated by the author using AI Mathematical reasoning may be regarded rather schematically as the exercise of a combination of two facilities, which …
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