Exploring EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies: A Brief Overview
Author(s): Vincent Liu Originally published on Towards AI. A Real-Time Anomaly Detection Network surpasses all the existing networksSource: Image by falco from Pixabay Anomaly Detection is one of the critical applications in the manufacturing industry. It boosts productivity and saves costs. The …
Build E2E CI/CD Pipeline using GitHub Actions, Docker & Cloud
Author(s): ronilpatil Originally published on Towards AI. Image by Author Hi folks, Are you ready to revolutionize your ML project workflow? Let’s implement an end-to-end CI/CD pipeline for a machine learning project using GitHub Actions, Docker, Docker Hub, and Render. From version …
This AI newsletter is all you need #98
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. A collaboration between Nvidia and UPenn released DrEureka, a new open-source model …
Predicting Multiple Tokens at the Same Time: Inside Meta AI’s Technique for Faster and More Optimal LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
A local YouTube Q&A Engine using Llama.cpp and Microsoft Phi-3-Mini
Author(s): Vatsal Saglani Originally published on Towards AI. The cheapest and easiest way for Video Question AnsweringImage by ChatGPT In my last blog about Microsoft-Phi-3-Mini, I discussed how Small language models (SLMs) like the Phi-3-Mini help with quick experimentations on a user’s …
Exploring LLM Strategies: A Journey through Prompt Engineering, Functional Calling, RAG, and Fine-Tuning
Author(s): Selina Li Originally published on Towards AI. What they are, how they are related and how to select one for your use case Author: Selina Li, Tianyi Li · Introduction· Recap on how LLM works· What are the strategies, and how …
Data Science Case Study — Credit Default Prediction: Part 1
Author(s): Saankhya Mondal Originally published on Towards AI. In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their …
Learn AI Together — Towards AI Community Newsletter #22
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! There’s been a lot of exciting stuff happening in ‘real-world AI’ in the last few weeks. The last few weeks have seen a massive increase in the number …
Minimizing the Mean Square Error: Frequentist Approach
Author(s): Varun Nakra Originally published on Towards AI. Statistical Inference and Mean Square Error In a utopian world, we would have access to unlimited data, i.e., the entire population, so there wouldn’t be a need for an ‘inference’, as we would know …
Time Series Simulations: Signature Transformation Method in Python. Part 2
Author(s): Pavel Zapolskii Originally published on Towards AI. In this article, we continue to explore a powerful tool for compressing Time Series information known as the Signature. Please read the first part if you want to learn more about math and calculation …
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