AI

AI

The Bias Variance Tradeoff and How it Shapes The LLMs of Today

Is low inductive bias essential for building general-purpose AI? Michael Zakhary · Follow Published in Towards Data Science · 6 min read · 6 days ago — Photo by BoliviaInteligente on Unsplash In today’s ML space, we find ourselves surrounded by these massive transformer models like chatGPT and BERT that give us unbeatable performance on just about any downstream task, with the caveat being the requirement of huge amounts of pre-training on upstream tasks first.

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AI

Preference Alignment for Everyone!

Frugal RLHF with multi-adapter PPO on Amazon SageMaker Aris Tsakpinis · Follow Published in Towards Data Science · 26 min read · 9 hours ago — Photo by StableDiffusionXL on Amazon Web Services Note: All images, unless otherwise noted, are by the author. What is this about and why is it important? Over the last 2 years, research and practice have delivered plenty of proof that preference alignment (PA) is a game changer for boosting

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AI

To Index or Not to Index

Leverage SQL indexing to speed up your queries. Learn when to index, when not to, and how indexing works under the hood. Christopher Karg · Follow Published in Towards Data Science · 18 min read · 1 hour ago — source: https://www.pexels.com/photo/serene-autumn-morning-landscape-in-misty-meadow-29231560/ SQL indexing is a term often thrown around in data circles — you may have heard phrases like “just apply an index”. It is also a question often asked in interviews — “what

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AI

Rethinking LLM Benchmarks: Measuring True Reasoning Beyond Training Data

Apple’s New LLM Benchmark, GSM-Symbolic Maxime Jabarian · Follow Published in Towards Data Science · 5 min read · 7 hours ago — source Welcome to this exploration of LLM reasoning abilities, where we’ll tackle a big question: can models like GPT, Llama, Mistral, and Gemma truly reason, or are they just clever pattern matchers? With each new release, we’re seeing these models hitting higher benchmark scores, often giving the impression they’re on the verge

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AI

How to Query a Knowledge Graph with LLMs Using gRAG

Google, Microsoft, LinkedIn, and many more tech companies are using Graph RAG. Why? Let’s understand it by building one from scratch. Cristian Leo · Follow Published in Towards Data Science · 24 min read · 7 hours ago — Image illustrating a knowledge graph with interconnected nodes and edges against a tech-inspired gradient background — Image generated by the author using DALL-E You may not realize it, but you’ve been interacting with Knowledge Graphs (KGs)

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AI

Operational and Analytical Data

What is the difference and how should we treat data in the enterprise? Bernd Wessely · Follow Published in Towards Data Science · 7 min read · 7 hours ago — Unfortunately, we still have a big confusion about what exactly operational and analytical data is. As a result, we are still struggling to find the right approach to handling data from an overarching enterprise perspective. What has been identified as the ‘great divide of

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AI

Exploring Recursive Art: Fractals with Context Free

Generating Intricate Imagery with Simple Rules and Shapes Diego Penilla · Follow Published in Towards Data Science · 7 min read · 3 days ago — With AI-generated art stealing the spotlight, it’s easy to overlook the charm of simpler, rule-based generative art. This article introduces Context Free Art, a tool that enables you to create intricate, beautiful designs using basic rules and recursion. Context Free Art is perfect for generating fractals, trees, and other

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AI

Histogram of Oriented Gradients (HOG) in Computer Vision

An explanation and implementation of Histogram of Oriented Gradients (HOG) (feature extraction algorithm ) for object detection and recognition tasks Mohamad Hamza · Follow Published in Towards Data Science · 6 min read · 2 days ago — Introduction Histogram of Oriented Gradients was first introduced by Navneet Dalal and Bill Trigs in their CVPR paper [“Histograms of Oriented Gradients for Human Detection”] There are many different algorithms for feature extraction, depending on the type

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AI

An Introduction to VLMs: The Future of Computer Vision Models

Building a 28% more accurate multimodal image search engine with VLMs. Ro Isachenko · Follow Published in Towards Data Science · 12 min read · 8 hours ago — Until recently, AI models were narrow in scope and limited to understanding either language or specific images, but rarely both. In this respect, general language models like GPTs were a HUGE leap since we went from specialized models to general yet much more powerful models. But

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AI

Kickstart Your Data Science Journey —  A Guide for Aspiring Data Scientists

Key Technical Skills You Need to Kick-start Your Career in Data Science Saankhya Mondal · Follow Published in Towards Data Science · 15 min read · 8 hours ago — Are you curious about data science? Does math and artificial intelligence excite you? Do you want to explore data science and plan to pursue a data science career? Whether you’re unsure where to begin or just taking your first steps into data science, you’ve come

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