How Production AI Systems Parse Millions of Messy User Queries
Author(s): Sai Kumar Yava Originally published on Towards AI. User queries are messy. They arrive riddled with typos, dripping with ambiguity, missing critical context, or loaded with assumptions that only make sense in the user’s head. Yet these imperfect queries are the …
TAI #180: DeepMind Pulling Ahead in the AI Race with Gemini 3.0 Pro and Nano Banana Pro?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, DeepMind finally released the much-anticipated Gemini 3.0 Pro, which sailed into the lead on multiple measures. There is much discussion about whether …
Sick of Pricey Flights? Google’s AI Just Became Your Personal Deal, Hunter
Author(s): Akhilesh Yadav Originally published on Towards AI. Smarter Travel, Smarter Savings Photo by Anete Lūsiņa on Unsplash Discover how Google’s AI-powered Flight Deals tool is revolutionizing air travel, putting more money back in your pocket, and transforming the aviation landscape as …
Maths behind ML Algorithms (Logistic Regression and gradient descent)
Author(s): Atharv Tembhurnikar Originally published on Towards AI. Logistic Regression is a supervised machine learning algorithm used for classification problems. Unlike linear regression which predicts continuous values it predicts the probability that an input belongs to a specific class. → It is …
Part 1 -Model Context Protocol (MCP) Fundamentals
Author(s): Fernando Prieto Originally published on Towards AI. Photo by JB on Unsplash I recently built an MCP server in Kotlin that acts as an HTTP client you can control with natural language. It connects with tools like Cursor and Claude, and …
PyTorch ANN Development: Building, Optimizing, and Hyperparameter Tuning
Author(s): Alok Choudhary Originally published on Towards AI. PyTorch ANN Development: Building, Optimizing, and Hyperparameter Tuning Artificial Neural Networks (ANNs) are the foundation of modern deep learning. PyTorch makes it straightforward to design, train, and improve ANNs, while also offering flexibility to …
The AI Bubble Is in the Wrong Place: Why Vertical AI/Integrators Will Win the Next Decade
Author(s): Ina Hanninger Originally published on Towards AI. The latest AI boom has pushed valuations into territory we’ve only seen a handful of times in modern market history. At $5 trillion, Nvidia has become the most valuable company in the world, and …
Tensors in Machine Learning: The Clearest Explanation You’ll Ever Read (ML Chapter-1)
Author(s): Sayan Chowdhury Originally published on Towards AI. If you’ve ever opened a machine learning textbook or played with a deep-learning framework, you’ve seen the word tensor pop up everywhere. It sounds intimidating. It feels mathematical. And everyone seems to assume you …
CPU Architectures for Developers
Author(s): Ganesh Bajaj Originally published on Towards AI. CPU Architectures for Developers As a developer, you’ll sooner or later need to understand CPU architectures — whether you’re writing low-level code, optimizing performance, compiling for different targets, or choosing hardware for a product. …
The Prompting Language Every AI Engineer Should Know: A BAML Deep Dive
Author(s): Lorre Atlan, PhD Originally published on Towards AI. What is BAML? As LLM applications move to production, developers face a critical challenge: LLMs frequently generate malformed JSON and unparseable outputs, leading to application failures and degraded user experiences. BAML addresses this …
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