Latent Space: The Most Important Place That Doesn’t Exist
Author(s): Ampatishan Sivalingam Originally published on Towards AI. How AI navigates invisible dimensions to understand reality, and why you should care Every time you prompt an AI to create a “cyberpunk cat playing jazz,” you are navigating a multi-dimensional map you cannot …
Unlocking Embedded Visuals from Documents Using Snowflake Cortex
Author(s): Krishnan Srinivasan Originally published on Towards AI. Most document AI discussions focus on text extraction, OCR accuracy, table detection, layout parsing. These are familiar themes. But many enterprise documents are not just text-centric. Inspection reports, audit documents, supplier catalogs, safety manuals, …
20 Must Visit SQL Questions For Interviews
Author(s): Ananya Originally published on Towards AI. Q1. Find the total number of orders placed by a customer (101) in a day. Table: Order_Details cust_id | order_id | order_date Code: select date_trunc(‘day’, order_date) as day, cust_id as customers count(distinct order_id) as orders …
Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems
Author(s): Rizwanhoda Originally published on Towards AI. Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems The real bottleneck in modern AI systems is not the LLM. Photo by Huzeyfe Turan on UnsplashVector databases serve as specialized infrastructure for managing high-dimensional …
Breaking the Monolith: Architecting a Process-Based Sub-Agent Ecosystem
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Generalist” Ceiling In the previous five articles, we architected a robust single agent. It has memory, tools, and user context. However, as we scale this agent to handle enterprise-grade …
Engineering the Semantic Layer: Why LLMs Need “Data Shape,” Not Just “Data Schema
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Context Window” Economy In the world of Large Language Models (LLMs), attention is a finite currency. While context windows are expanding, the “Lost in the Middle” phenomenon remains a …
Beyond the Prompt: Engineering the “Thought-Action-Observation” Loop
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “One-Shot” Fallacy In the early days of Generative AI, the industry was obsessed with “Zero-Shot” performance — the ability of a model to answer a question in a single …
Top 20 Anomaly Detection Interview Questions and Answers (Part 1 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 26 Anomaly detection is the practice of identifying patterns in data that deviate from expected behavior. In an era where systems generate massive volumes of real-time data, detecting anomalies …
The “Strawberry” Signal: OpenAI’s Next Model Will Eat Its Platform
Author(s): MohamedAbdelmenem Originally published on Towards AI. OpenAI’s Frontier platform locks in today’s AI workflows. Its “Strawberry” research will make them obsolete. Here’s your strategic hedge. If you are a strategist, CTO, or investor tracking the enterprise AI stack, this is the …
The Ghost in Your Machine: Why OpenClaw’s ‘Local-First’ Autonomy Beats the Cloud Every Time
Author(s): Anurag Jain Originally published on Towards AI. How running AI locally gives you autonomy, economic efficiency, and real agency over your digital life. OpenClaw vs. Claude Code We are reaching the end of the honeymoon phase with the cloud’s black-box oracles. …
Recent Posts
