My Experience with the Apple Vision Pro and Future Perspectives in Computer Vision and Healthcare
Author(s): Alberto Paderno Originally published on Towards AI. Just me and the Apple Vision Pro “It was a rainy day in Palo Alto. The line in front of the Apple Store was interminable, and only a few strong-willed people could be persistent …
LangChain 101: Part 3a. Talking to Documents: Load, Split, and simple RAG with LCEL
Author(s): Ivan Reznikov Originally published on Towards AI. After ChatGPT went viral, one of the first services and applications created was “Use ChatGPT for your documents.” It makes a lot of sense, as allowing users to chat with their data may be …
Decoding AI Beyond Buzzwords for Absolute Beginners 2024
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Artificial intelligence (AI) has become one of the most fascinating areas in today’s fast-paced world. We know that artificial intelligence can seem overwhelming in many ways, especially with so many buzzwords. In …
Bigram Language Modeling From Scratch
Author(s): Abhishek Chaudhary Originally published on Towards AI. https://cdn.analyticsvidhya.com/wp-content/uploads/2019/08/language_model.png Language modeling is all about how computers understand and generate human language. It’s a key part of making AI systems that can communicate with us effectively. In recent years, ChatGPT has been a …
Creating Movie Trailers With AI
Author(s): Dimitre Oliveira Originally published on Towards AI. Photo by Jeremy Yap on Unsplash AI has been used in the movie industry in many different use cases, from visual effects to the recent usage of generative AI to create scripts or actual …
Google Just Published a Decoder-Only Model for Time-Series Forecasting With Zero-Shot Learning!!
Author(s): Saleha Shaikh Originally published on Towards AI. Time series forecasting drives most of the business today, and at the moment, it has been predicted using conventional ML/NN models, but Google just published a TimesFM model, which can make time series predictions …
easy-explain: Explainable AI for YoloV8
Author(s): Stavros Theocharis Originally published on Towards AI. (Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. I also wrote …
Evaluating RAG Metrics Across Different Retrieval Methods
Author(s): Harpreet Sahota Originally published on Towards AI. By Author In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics. My journey with AI Makerspace’s …
Navigating the Exciting Stages: The Journey of a Machine Learning Project Life Cycle
Author(s): Kamireddy Mahendra Originally published on Towards AI. “Learning is intrinsic to human nature, and innovating machines to learn is a testament to human ingenuity.” Photo by Markus Winkler on Unsplash Let’s get started: Machine Learning has become the most demanding and …
Attention Mechanism
Author(s): Dr Barak Or Originally published on Towards AI. Attention Mechanism Self Attention -concept At the heart of the Transformer model lies the attention mechanism, a pivotal innovation designed to address the fundamental challenge of learning long-range dependencies within sequence transduction tasks. …
How to Build a Simple Generative AI Application with Gradio
Author(s): Saqib Jan Originally published on Towards AI. Gradio is simply a great choice for creating a customizable user interface for machine learning models to test your proof of concept. Image Source: Hugging Face blog When you have a specific idea in …
Advanced RAG 02: Unveiling PDF Parsing
Author(s): Florian June Originally published on Towards AI. Including key points, diagrams, and code For RAG, the extraction of information from documents is an inevitable scenario. Ensuring the effectiveness of content extraction from the source is crucial in improving the quality of …
Simplify Your Data Engineering Journey: The Essential PySpark Cheat Sheet for Success!
Author(s): Kamireddy Mahendra Originally published on Towards AI. “ It is not important to complete tasks blindly. It is important to complete tasks more efficiently with more effectiveness” Photo by Markus Winkler on Unsplash Yes, It is important to understand before getting …
Master Essential — Key Statistics Every Aspiring Data Scientist Must Grasp Before Taking the Dive — Part-I
Author(s): Kamireddy Mahendra Originally published on Towards AI. The Most Underestimated thing to excel in any field is to build a strong foundation or fundamentals. keep strengthening fundamentals. Image by Gerd Altmann from Pixabay Before getting into the context of this article, …
H2O.ai’s Danube and The Case for Smaller, More Accessible AI Models
Author(s): Frederik Bussler Originally published on Towards AI. Photo by Agence Olloweb on Unsplash AI models have grown massively in size in recent years, with models like GPT-3 containing over 175 billion parameters (and an estimated 1 trillion in GPT-4). However, these …
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