Embeddings – Understanding Vectors in AI
Author(s): Shobhit Chauhan Originally published on Towards AI. Embeddings – Understanding Vectors in AI We live in a world obsessed with the latest AI spectacles: the stunning photorealistic images, the philosophical conversations with a chatbot, the code that practically writes itself. We’re …
Embeddings – Understanding Vectors in AI
Author(s): Shobhit Chauhan Originally published on Towards AI. Embeddings – Understanding Vectors in AI We live in a world obsessed with the latest AI spectacles: the stunning photorealistic images, the philosophical conversations with a chatbot, the code that practically writes itself. We’re …
Scaling Laws: How to Allocate Compute for Training Language Models
Author(s): M Originally published on Towards AI. From Chinchilla’s 20:1 rule to SmolLM3’s 3,700:1 ratio: how inference economics rewrote the training playbook Training a language model is expensive. Really expensive. A single training run for a 70 billion parameter model can cost …
Scale GenAI Application Zero to Millions of Users
Author(s): Akash Verma Originally published on Towards AI. Webserver: Designing A Gen AI System that supports millions of users is challenging, and it is a journey that requires continuous refinement and endless improvement. In this we are going to discuss how can …
Deploy Scalable Application on Databricks Apps integrated with FastAPI
Author(s): Akash Verma Originally published on Towards AI. Deploy Scalable Application on Databricks Apps integrated with FastAPI This is very interesting we are going to deploy the sackable Generative Application on Databricks Apps. Deploy Scalable Application on Databricks Apps integrated with FastAPIThe …
What Generative Adversarial Networks Are Capable of? — A Python Project on MNIST Dataset.
Author(s): Tanesh balodi Originally published on Towards AI. What Generative Adversarial Networks Are Capable of? — A Python Project on MNIST Dataset. The applications of deep learning are widespread; it helps in building natural language processing models, fraud detection, and more. Deep …
How to Build a Custom MCP Server to Read Local Files with Claude Desktop: Challenges & Solutions
Author(s): Sreekanth Reddy Originally published on Towards AI. Background: Why You Need MCP Claude is powerful, but by default it can’t access your computer’s files. It lives in the cloud and has no idea what’s on your hard drive. This limitation becomes …
Apple Source Code Exposed Again — Why Every Enterprise AI Stack Needs Secure Code Before It’s Too Late
Author(s): Snow Originally published on Towards AI. This week, Apple offered the industry yet another teachable moment. App Store web front-end source exposed (Nov 2025): Apple’s new web App Store shipped with production source maps enabled, letting the front-end code be reconstructed …
The Rise of Generative AI Agents: From Concept to Enterprise-Grade Systems
Author(s): Hira Ahmad Originally published on Towards AI. Introduction: The Emergence of Agentic AI Generative AI has evolved beyond content generation. Modern AI agents are autonomous, collaborative, and continuously learning entities capable of reasoning, acting, and interacting with humans, other agents, and …
Anomaly Detection: A Comprehensive Guide
Author(s): Alok Choudhary Originally published on Towards AI. Anomaly Detection: A Comprehensive Guide Anomaly detection is one of those concepts in machine learning that looks deceptively simple but has a huge impact in real-world applications — from fraud prevention to equipment maintenance, …
Why Every Developer Should Learn Prompt Engineering This Year
Author(s): TCE Tech Jankari Originally published on Towards AI. Photo by Aidin Geranrekab on Unsplash If there is one skill that separates fast-moving developers from the rest in 2025, it is not a new framework, a backend library, or a cloud certification. …
Cookiecutter Data Science: A Standardized, Flexible Approach for Modern Data Projects
Author(s): Abinaya Subramaniam Originally published on Towards AI. In the ever-evolving world of data science, one of the biggest challenges isn’t the algorithms or tools, it’s project organization. If you are working solo or collaborating with a team, maintaining a clean, reproducible, …
Fine-Tuning a Quantized LLM with LoRA: The Phi-3 Mini Walkthrough
Author(s): Akash Verma Originally published on Towards AI. Fine-Tuning a Quantized LLM with LoRA: The Phi-3 Mini Walkthrough In this post, we’ll take our first steps toward efficient large language model (LLM) experimentation — setting up the environment, understanding quantization, and loading …
Atlas vs Comet: How the 2025 Browser War Could Change the Web Forever
Author(s): AIversity Originally published on Towards AI. Cut through the hype and see which AI browser actually changes the way you use the web What if your browser could not only search, but think, explain, and even do tasks for you? This …
Quantization: How to Accelerate Big AI Models
Author(s): Burak Degirmencioglu Originally published on Towards AI. In the world of deep learning, we are in an arms race for bigger, more powerful models. While this has led to incredible capabilities, it has also created a significant problem: these models are …
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