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Areas Served: Keeping up with ML Research: A Tool to Navigate the ML Innovation Maze
Author(s): Alessandro Amenta Originally published on Towards AI. Image generated with DALL-E 3 In the fast-paced world of Machine Learning (ML) research, keeping up with the latest findings is crucial and exciting, but let’s be honest — it’s also a challenge. With …
Machine Learning and Operations Research for Optimizing Assortment Size
Author(s): Alexandre Warembourg Originally published on Towards AI. Explore my journey in tackling a multi-objective constrained optimization problem to achieve assortment reduction without losing customers and revenue using genetic algorithms and machine learning.Source : Dall-E In retail, assortment planning is critical. It …
Master Generative AI Stack: practical handbook
Author(s): Nail Valiyev Originally published on Towards AI. AI has been on a remarkable journey since its inception in the 1950s, but the last decade has truly transformed the landscape. Unlike anything before, Generative AI has the astonishing ability to create images, …
Top Important LLM Papers for the Week from 12/02 to 18/02
Author(s): Youssef Hosni Originally published on Towards AI. 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 latest progress. This article summarizes some of the …
Use Stylometry to Identify Authors
Author(s): Lee Vaughan Originally published on Towards AI. Computational text analysis with Python and NLTKMashup poster of three novels by Dall-e-3 and the author Stylometry is the quantitative study of literary style through computational text analysis. It’s based on the idea that …
How To Avoid Common Pitfalls in Time Series Forecasting
Author(s): Jonte Dancker Originally published on Towards AI. Time series data is everywhere and is one of the most available data. Many industries, including retail, financing, or energy, use time series. In time series, observations are recorded at regular or irregular time …
Maximizing Machine Learning: How Calibration Can Enhance Performance
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. The not-so-much talked method to improve our machine-learning model.Image by Author Many machine learning model outputs are a probability of certain classes. For example, the model classifier would assign a probability to the …
Unleash the Power of Azure ML: Python Basics for Beginners
Author(s): Durgesh Samariya Originally published on Towards AI. A Hands-On Guide to Getting Started with Azure Machine Learning Using Python — Mastering Azure Machine Learning: Hands-On Python GuidePhoto by Fatos Bytyqi on Unsplash Hello Everyone! Welcome to the exciting Azure Machine Learning …
Top Important Computer Vision Papers for the Week from 12/02 to 18/02
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, …
RAGAs- How To Evaluate RAG Pipelines ChatBot
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. Businesses nowadays encounter a significant challenge with generative AI: they excel in general knowledge but need help to ask about specific data. The core of the problem lies in the fact that tools …
Inference and Quantization with Qwen1.5 LLMs on Your Computer
Author(s): Benjamin Marie Originally published on Towards AI. The best open LLMs?‘QWEN is a moniker of Qianwen, which means “thousands of prompts” in Chinese’ (source) — Generated by DALL-E Recently, Alibaba published the Qwen1.5 models. They are open pre-trained and chat LLMs …
Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction
Author(s): Vaishnavi Seetharama Originally published on Towards AI. Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using …
Explainable AI: GradCAM
Author(s): Shubham Bhandari Originally published on Towards AI. Photo by Neeqolah Creative Works on Unsplash With the recent advancements in AI, we are witnessing the emergence of some of the most sophisticated AI systems that have ever existed. Propelled by the wave …
The Transformer Architecture From a Top View
Author(s): Dimitris Effrosynidis Originally published on Towards AI. Exploring the encoder-decoder magic in NLP behind LLMsImage created by the author. The state-of-the-art Natural Language Processing (NLP) models used to be Recurrent Neural Networks (RNN) among others. And then came Transformers. Transformer architecture …
The LLM Series #3: Multiple Function Calling: Taking OpenAI Models to the Next Level
Author(s): Muhammad Saad Uddin Originally published on Towards AI. Image by Author via Dall-E Welcome to the third article of this LLM Series, where we’re stoking the flames of innovation with OpenAI models U+1F525U+1F525. In this edition, we’ll be exploring multiple-function calling, …
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