This Tool Makes Me 10x More Powerful (And You Can Install It in One Click)
Author(s): Elliott Girard Originally published on Towards AI. How I gave every AI assistant a shared, temporal memory — and why portability matters more than you think. You don’t have a premium Medium Account? 🔗 Read the complete article Source: https://github.com/getzep/graphiti/tree/mainThe article …
OpenAI’s $1 Trillion Gamble: Genius Plan or a House of Cards?
Author(s): Murat Girgin Originally published on Towards AI. Is it a game of thrones or the biggest ecosystem of the future? Behind the popular tools is a high-stakes gamble built on staggering financial commitments, bizarre partnership structures, and a “growth at all …
The Tools That Automate 90% of Your Work While You Get a Good Night’s Sleep
Author(s): Shreyansh Jain Originally published on Towards AI. A practical breakdown of how deep agents like Gemini, ChatGPT, and Claude plan, read, and research for you — even overnight. To understand why tools like Gemini Deep Research feel so powerful, we need …
How to Build a Powerful Deep Research System
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to access vast amounts of information with your own deep research system Deep research is a popular feature you can activate in apps such as ChatGPT and Google Gemini. It allows users …
RAG is Just Bayesian Inference: The Simple Truth Behind AI’s “Magic” 🎯
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Surprising Discovery That Changes Everything Here’s something wild: every time ChatGPT or Claude uses documents to answer your questions, they’re using a mathematical formula from 1763. First content image caption not provided in the …
TAI #178: Kimi K2 Thinking Steals the Open-Source Crown With a New Agentic Contender
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The AI playing field was reshaped yet again this week with the release of Kimi K2 Thinking from Moonshot AI. This release feels like …
Your Camera Doesn’t Just See — It Explains
Author(s): Lindo St. Angel Originally published on Towards AI. Image by the author (unknown person was me out of the scene) Smart-home cameras are noisy storytellers. A leaf moves, a light flickers, and your phone buzzes again. What you get is motion …
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 …
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