Top Important Computer Vision Papers for the Week from 08/04 to 14/04
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, …
Prompt Engineering Best Practices: Text Summarization & Information Retrieval
Author(s): Youssef Hosni Originally published on Towards AI. In today’s fast-paced world, we’re inundated with an overwhelming amount of text, leaving little time to read everything we desire. A fascinating application of large language models is their use in text summarization and …
Image Function Calls Made Easy with Claudetools
Author(s): Vatsal Saglani Originally published on Towards AI. Unlock the power of the Claude 3 models to seamlessly convert images into actionable structured outputs.Image generated using ChatGPT Up until now OpenAI models were best in class for generating structured JSON outputs and …
Exploring the TensorFlow Ecosystem: A Comprehensive Overview
Author(s): Youssef Hosni Originally published on Towards AI. An Overview of Tensorflow EcoSystem TensorFlow is a pivotal deep-learning framework developed by Google. Most people know TensorFlow for training deep learning models, however, the TensorFlow ecosystem has more components. This emphasized the aim …
AI in Football — Biases in Expected Goals (xG) Models Confound Finishing Ability: Part 1
Author(s): Saankhya Mondal Originally published on Towards AI. This post will discuss the findings of the “Biases in Expected Goals Models Confound Finishing Ability” paper, published by researchers at the KU Leuven Institute for Artificial Intelligence, Belgium. Part 1 discusses different biases …
Top Important LLM Papers for the Week from 01/04 to 07/04
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 …
Top Important Computer Vision Papers for the Week from 01/04 to 07/04
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, …
RAG 2.0, Finally Getting RAG Right!
Author(s): Ignacio de Gregorio Originally published on Towards AI. The Creators of RAG Present its Successor Looking at the AI industry, we have grown accustomed to seeing stuff get ‘killed’ every single day. I myself cringe sometimes when I have to talk …
ML Engineering is Not What You Think — ML Jobs Explained
Author(s): Boris Meinardus Originally published on Towards AI. How much machine learning really is in ML Engineering? It’s so confusing! There are so many different data- and machine-learning-related jobs. But what actually are the differences between a Data Engineer, Data Scientist, ML …
Google’s CodeGemma: I am not Impressed
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. I experimented with CodeGemma. Here are my results What codeGemma is supposed to be, according to Google — CodeGEMMA represents a significant advancement in the realm of code generation and completion, stemming …
Mastering Large Language Model (LLM) Fine-Tuning: Top Learning Resources
Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) have transformed the field of natural language processing with their advanced capabilities and highly sophisticated solutions. These models, trained on massive datasets of text, perform a wide range of tasks, …
Exploration of Joint PMFs: Their Applications in Data Science (Part 1)
Author(s): Ghadah AlHabib Originally published on Towards AI. (Image generated by ChatGPT) Introduction to Joint PMFs When dealing with discrete random variables, the joint probability mass function (PMF) is a fundamental concept in probability theory and statistics. Understanding it is crucial for …
Supervised and Unsupervised: What’s the difference?
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Arseny Togulev on Unsplash With machine learning’s surge of popularity in the past few years, more and more people spend hours each day trying to learn as much as they can. The …
JAMBA, the First Powerful Hybrid Model is Here
Author(s): Ignacio de Gregorio Originally published on Towards AI. Toward a Subquadratic Future For almost six years, nothing has beaten the Transformer, the heart of all Generative AI models. However, due to its excessive costs, many have tried to dethrone it, to …
Understanding LangChain Chains for Large Language Model Application Development
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On LangChain for LLMs App Development: Chains One of the fundamental pillars of LangChain, as implied by its name, is the concept of “chains.” These chains typically integrate a large language model (LLM) with …
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