Part 16: Data Manipulation in Data Validation and Quality Control
Author(s): Raj kumar Originally published on Towards AI. Data quality issues are the silent killers of production systems. A single malformed record can crash your pipeline. A gradual drift in data distributions can slowly degrade model performance. Missing values that sneak through …
Hate Speech Detection Still Cooks (Even in 2026)
Author(s): Saif Rathod Originally published on Towards AI. The failure case you didn’t see coming In late 2025, a major social platform quietly rolled back parts of its LLM-based moderation pipeline after internal audits revealed a systematic pattern: posts in African American …
Why System Behaviour Must Be Designed, Not Improvised
Author(s): Muhammad Ejaz Ameer Originally published on Towards AI. By Muhammad Ejaz Ameer, Product & Decision Architecture Lead There is a moment in the life of almost every digital product when the team realises something uncomfortable: the system does not actually know …
The Loop: How an AI Swarm Surfaced a Governance Limitation, Then Tested the Fix
Author(s): Selfradiance Originally published on Towards AI. AgentGate is a runtime accountability layer for AI agents: before an agent can execute a high-impact action, it must lock a bond as collateral. Good outcomes release the bond. Bad outcomes slash it. The mechanism …
Building a Long-Running Conversational AI Agent with Intelligent Context Management
Author(s): Jageen Shukla Originally published on Towards AI. Learn how to build an AI agent that remembers unlimited conversation history using Redis, ChromaDB vector search, and intelligent context management. Full source code available on GitHub and you can read this blog free …
AGI Is Not a Compute Problem. ARC-AGI-3 Just Proved It.
Author(s): Siddhant Nitin Patil Originally published on Towards AI. On March 22, 2026, Jensen Huang sat across from Lex Fridman and said four words that traveled at the speed of light through every AI Slack channel and investor deck on the planet: …
TAI #198: Real-Time Speech AI Gets Serious: Google and OpenAI Race to Own the Voice Layer
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Real-time speech AI has been progressing quietly for the past year, but the past few weeks have delivered enough to warrant a dedicated look. …
From Extraction to Accuracy: Evaluating Extracted Invoice Data with LLM-as-a-Judge
Author(s): Krishnan Srinivasan Originally published on Towards AI. (A practical, end-to-end guide to building a ground-truth-based evaluation pipeline, complete with synthetic data and runnable SQL on Snowflake) In the earlier parts of this Agentic AI series, we explored how AI systems can …
Nobody Invented Attention. A Frustrated PhD Student Ran Out of Other Options.
Author(s): DrSwarnenduAI Originally published on Towards AI. Nobody Invented Attention. A Frustrated PhD Student Ran Out of Other Options. Dzmitry Bahdanau was not trying to invent the architecture that would eventually run inside every large language model on earth. Completely gibberish at …
Part 9: Data Manipulation in Data Merging and Joins
Author(s): Raj kumar Originally published on Towards AI. Every analysis that combines data from multiple sources faces the same fundamental question: how should these datasets align? Which records match? What happens when they don’t? These aren’t just technical decisions. They shape what …
Recent Posts
