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 …
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 …
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 …
How Good is Google Gemini 1.5 With a Massive 1 Million Context Window?
Author(s): Dipanjan (DJ) Sarkar Originally published on Towards AI. Created by Author with DALL-E Introduction Artificial Intelligence, and particularly Generative AI, is evolving at a rapid pace; every other week, we hear a new Large Language Model (LLM) being released! Google has …
Prompt Engineering Best Practices: Iterative Prompt Development
Author(s): Youssef Hosni Originally published on Towards AI. When you build applications with large language models, it is difficult to come up with a prompt that you will end up using in the final application on your first attempt. However as long …
Deploy Machine Learning Models Using the Power of Streamlit!
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Kevin Ku on Unsplash With machine learning continuing to dominate the technology landscape, people have eagerly jumped on the hype train and dived deep into the vast realm. As datasets have popped …
Do Not Create That New Report!
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Embracing a focused reporting approach in the data-driven era to overcome the pitfalls of excessive reporting and enable efficient and effective decision-making.Photo by Fey Marin on Unsplash In the contemporary …
Converting Textual data to Tabular form using NLP
Author(s): Danish Javed Originally published on Towards AI. Flow Diagram of Architecture Followed in Article Introduction: Larger textual files may be more difficult to manage than tabular data because tabular data facilitates understanding by visualizing information in an organized manner.This article will …
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