Unfolding the universe of possibilities..

Whispers from the digital wind, hang tight..

How Artificial Intelligence Might be Worsening the Reproducibility Crisis in Science and Technology

Discussion backed up by some concrete examples, sketching broad guidelines on how to develop better AI systems Continue reading on Towards Data Science »

CLIP Model and The Importance of Multimodal Embeddings

CLIP, which stands for Contrastive Language-Image Pretraining, is a deep learning model developed by OpenAI in 2021. CLIP’s embeddings for images and text share the same space, enabling direct comparisons between the two modalities. This is accomplished by training the

Python “Tuple+”: Named Tuples

Tuples are a powerful Python type — but named tuples even more so! Continue reading on Towards Data Science »

Graph-Based Prompting and Reasoning with Language Models

Understanding graph of thoughts prompting and several variants… Continue reading on Towards Data Science »

Geospatial Indexing Explained: A Comparison of Geohash, S2, and H3

Geospatial indexing, or Geocoding, is the process of indexing latitude-longitude pairs to small subdivisions of geographical space, and it… Continue reading on Towards Data Science »

Beyond Predictions: Uplift Modeling & the Science of Influence (Part I)

Hands-On Approach to Uplift with Tree-Based Models Continue reading on Towards Data Science »

Navigating the AI Landscape of 2024: Trends, Predictions, and Possibilities

2024 beckons with a promise of innovation — a year where AI and technology converge to redraw the maps of possibility. Introduction Welcome to a journey through the possibilities that 2024 holds for AI and technology. Here, each prediction is a potential