Where LLMs still fail
An exploration of current limitations in Large Language Models (LLM) through concrete examples, revealing their surprising struggles with seemingly simple tasks.
Optimizing Chatbot Performance: A Two-Phase Methodology for Enhanced Performance in HR Policy Responses
At Ekimetrics, we've tackled the challenge of ensuring the relevance and accuracy of chatbot responses by developing a cutting-edge chatbot system designed to navigate the complex landscape of HR policies.
Bayesian Neural Networks
Bayesian neural networks (BNNs) is a pioneering approach that embraces uncertainty as a strength.
Multimodal Deep Learning
Understand why multimodal deep learning models are more accurate than assembled unimodal models.
Uncertainty in time series forecasting
Discover uncertainty quantification for time series forecasting.
Maths Men: The Economics of Online Advertising
Willing to learn about the online ad market, cross-media effects and contextual advertising? This article wraps up the content of a PhD thesis on the economics of online advertising, defended by Rémi Devaux, Senior Consultant at Ekimetrics.
ClimateQ&A
AI to make climate and biodiversity science more accessible.
Does your company level with your car in terms of Analytics?
See what ABS and ESP do in a car and what it corresponds to in a company. This article advocates real-time analytics for ML insights.
Building a datalake - Part 2 - Smart storage & computing strategies for better usability and usefulness
For this second part of datalake building, we’ll go deeper into the journey of data, more specifically expand on storage and compute strategies.