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Top Important Computer Vision Papers for the Week from 15/07 to 21/07
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, …
RouteLLM: How I Route to The Best Model to Cut API Costs
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. large language models have shown amazing capabilities in a variety of tasks, but there is a big difference in their cost and capabilities. Claude 3 Opus, GPT-4, and others are high in performance, …
TAI #109: Cost and Capability Leaders Switching Places With GPT-4o Mini and LLama 3.1?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This was another huge week for foundation LLMs, with the release of GPT-4o mini, the leak of LLama 3.1 model scorecards, new models from …
The Mathematics of Small Things: On Grokking and The Double Descent Phenomenon
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Robert Thiemann on Unsplash The Conundrum — To Overfit or Generalize? So here’s the thing when training a model — you are often advised never to overfit. Somehow it makes sense because …
Building Visual Questioning Answering System Using Hugging Face Open-Source Models
Author(s): Youssef Hosni Originally published on Towards AI. Visual Question Answering (VQA) is a complex task that combines computer vision and natural language processing to enable systems to answer questions about images. In this technical blog, we explore the creation of a …
Multi-task Learning (MTL) and The Role of Activation Functions in Neural Networks [Train MLP With and Without Activation]
Author(s): JAIGANESAN Originally published on Towards AI. Image by the author In this article, we’re going to explore two important concepts in deep learning: multi-task learning (MTL) and the role of activation functions in neural networks. We’ll learn how MTL works by …
6 Years of Studying ML in 16 Minutes
Author(s): Boris Meinardus Originally published on Towards AI. I have been studying machine learning for the past 6 years — here is my journey. I have been studying machine learning for the past 6 years, in which I worked as an ML …
RAG Architecture: Advanced RAG
Author(s): Igor Novikov Originally published on Towards AI. Since the writing of my last article, not much time has passed, but progress doesn’t stand still, and several important changes have occurred. Here, I won’t cover the basics — read the original article …
Another Few Tips for Better Results from LLM RAG Solutions
Author(s): Dmitry Malishev Originally published on Towards AI. A structured and thoughtful response from LLM based on perfectly selected data from RAG is a promising technique. And it can be even better! Image generated by the author using Leonardo.ai By now, I’ve …
Towards AI is Now on O’Reilly
Author(s): Towards AI Editorial Team Originally published on Towards AI. Towards AI has partnered with O’Reilly, a leader in digital learning and professional development, to make our latest resources more accessible. Through this partnership, our latest book, “Building LLMs for Production,” and …
Inside NuminaMath: The AI Model that Took The First Place In the AI Math Olympiad
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
GraphRAG + GPT-4o-Mini is the RAG Heaven
Author(s): Vatsal Saglani Originally published on Towards AI. Image by DALL-E 3 Disclaimer: This implementation of GraphRAG is inspired by the paper From Local to Global: A Graph RAG Approach to Query-Focused Summarization by Darren Edge et. al. The code is not …
GraphRAG + GPT-4o-Mini is the RAG Heaven
Author(s): Vatsal Saglani Originally published on Towards AI. Part 1: Introduction to GraphRAGImage by DALL-E 3 Disclaimer: This implementation of GraphRAG is inspired by the paper From Local to Global: A Graph RAG Approach to Query-Focused Summarization by Darren Edge et. al. …
Building a Multi-Agent AI Application with LlamaIndex, Bedrock, and Slack Integration: A Technical Journey — Part 1
Author(s): Ryan Nguyen Originally published on Towards AI. AI-Generated Image Hello everyone, I’m back after a busy few months since my last blog post (6 months and 13 days exactly). It has been busy for me for the last couple of months …
Understanding Boosting Algorithms: A Mathematical and Python Implementation Guide
Author(s): Shenggang Li Originally published on Towards AI. A Deep Dive into the Mechanisms of Boosting with Step-by-Step Examples, Leading to the Development of Boosting in Machine Learning Photo by Андрей Сизов on Unsplash Boosting is a powerful machine learning technique widely …
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