Unlocking The Secrets: Exploring Generative vs. Discriminative Models in Machine Learning
Author(s): Claudio Giorgio Giancaterino Originally published on Towards AI. https://deepai.org/machine-learning-model/cute-creature-generator (a cat teacher draws a line in a blackboard) In Machine Learning, two models stand out: generative and discriminative models. They are used for distinct goals and they approach problems from unique …
Faster Knowledge Distillation Using Uncertainty-Aware Mixup
Author(s): Tata Ganesh Originally published on Towards AI. Photo by Jaredd Craig on Unsplash In this article, we will review the paper titled “Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup” [1], which aims to reduce the computational cost associated with distilling the knowledge …
The Principles of Production AI
Author(s): Charly Poly Originally published on Towards AI. One main observation can be made as we approach the end of 2024: AI Engineering is maturing, looking for a safer, more accurate, and reliable way to put RAGs and Agents into user’s hands. …
The Great AI Balancing Act:
Author(s): Vita Haas Originally published on Towards AI. The artificial intelligence landscape is reaching a critical inflection point. As we venture deeper, a fascinating paradox emerges: while AI capabilities surge forward at breakneck speed, our regulatory frameworks struggle to keep pace. Recent …
Can AI Understand Our Minds?
Author(s): Vita Haas Originally published on Towards AI. Image by Me and AI, My Partner in Crime When it comes to artificial intelligence (AI), opinions run the gamut. Some see AI as a miraculous tool that could revolutionize every aspect of our …
RAGate: Adaptive RAG for Conversational AI
Author(s): Rupali Patil Originally published on Towards AI. Building Conversational AI systems is hard!!! It’s feasible but also complex, time-consuming, and resource-intensive. The challenge lies in designing systems that can understand and generate human-like responses and ensuring that these systems engage users …
27 Equations Every Data Scientist Needs to Know
Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Everybody’s talking about AI, but how many of those who claim to be “experts” can actually break down the math behind it? It’s …
Building AI-Powered Applications with CockroachDB Vector Search: From Theory to Practice
Author(s): Siddharth Kshirsagar Originally published on Towards AI. What are Vector Databases ? In today’s AI-driven landscape, vector databases have emerged as a critical technology for managing and querying high-dimensional data in ways that mirror human understanding. These specialized database systems store …
Why Every Health Data Scientist Should Know About OMOP CDM
Author(s): Mazen Ahmed Originally published on Towards AI. Standardising Healthcare Data This member-only story is on us. Upgrade to access all of Medium. Image by Author A large issue I struggle with at work is standardising healthcare data. I gather data from …
Apple’s Surprising Take On AI: Why The Future Isn’t As Bright As We Thought
Author(s): Kamran Khan Originally published on Towards AI. Apple’s Take on AI This member-only story is on us. Upgrade to access all of Medium. Photo by Solen Feyissa on Unsplash Apple officially weighed in on the subject of artificial intelligence, and its …
Insert One Million Records With Just A Few Lines of SQL Code
Author(s): Kamireddy Mahendra Originally published on Towards AI. Save Time and Effort in Creating data to Practice SQL This member-only story is on us. Upgrade to access all of Medium. Image by author Hello! In this article, You will find a very …
Data4ML Preparation Guidelines (Beyond The Basics)
Author(s): Houssem Ben Braiek Originally published on Towards AI. Data preparation isn’t just a part of the ML engineering process — it’s the heart of it. This member-only story is on us. Upgrade to access all of Medium. Photo by Myriam Jessier …
LLM Agents Underscore One Truth: Data Is The Real Differentiator.
Author(s): Houssem Ben Braiek Originally published on Towards AI. We don’t have better algorithms; we just have more data. — Peter Norvig, The Unreasonable Effectiveness of Data. This member-only story is on us. Upgrade to access all of Medium. Edited Photo by …
DSPy: Machine Learning Attitude Towards LLM Prompting
Author(s): Serj Smorodinsky Originally published on Towards AI. Transition from prompt string manipulations to a PyTorch like framework This member-only story is on us. Upgrade to access all of Medium. Link to the official tutorial Full code at your one stop LLM …
Llama 3.2 Vision Review
Author(s): Barhoumi Mosbeh Originally published on Towards AI. Ollama multi-modal Ollama has just announced its official support for the Llama 3.2 Vision models. The Llama 3.2 Vision models come in two sizes: 11 billion and 90 billion parameters. In this article, I …
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