Agentic AI Vs AI Agents — What Are the Key Differences?
Author(s): Davin Convay Originally published on Towards AI. There are a lot of new terms dominating the artificial intelligence world lately, “Agentic AI” and “AI agents” being two of them. Oftentimes, they’re being used interchangeably, but the two phrases have their own …
LAI #127: The Infrastructure Layer of AI Is Becoming the Product
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we’re looking at the shift from “AI demos” to real systems: agents that need reliable execution, enterprises building durable AI infrastructure, and architectures that survive production …
Time Series Made So Easy My Aunt Got It on the Second Read
Author(s): Kamrun Nahar Originally published on Towards AI. SARIMAX, Prophet, XGBoost, LSTM, and N-BEATS broken down without any pretentious math. Pick the right model in under five minutes today. The 9 billion dollar lesson. In November 2021, Zillow walked into a conference …
Claude Cowork 101
Author(s): Kushal Banda Originally published on Towards AI. Claude Chat is reactive you prompt, Claude answers. Claude Code is terminal-first, demands CLI comfort. Cowork splits the difference: agentic architecture (same as Code) in a GUI anyone can operate. Multi-step planning. File system …
Is 3-Bit KV Cache the Holy Grail? A Reality Check on Google’s TurboQuant
Author(s): Ravi Yogesh Originally published on Towards AI. 10 experiments, 3 models, one honest verdict: the quality story is real, the speed story needs a disclaimer, and there’s a finding in the entropy data nobody talks about. ⏱ ~14 min read🔬 Deep …
LangGraph Multi-Agent Architecture: Building a Self-Critiquing AI Debate System
Author(s): Rishav Saigal Originally published on Towards AI. A technical deep-dive into the LangGraph state machine, Pydantic-driven routing, and Critique Agent design powering the LLM Drift Experiment. In the opening piece of this series, we explored the conceptual “why” behind LLM Drift …
AutoML on Autopilot
Author(s): Rishav Saigal Originally published on Towards AI. Figure 1 — From a plain-English prompt to a fully tracked MLflow experiment, autonomously. TL;DR Wraps PyCaret’s AutoML engine in a Google ADK agent hierarchy One natural language prompt → plan → code → …
Month in 4 Papers (April 2026)
Author(s): Ala Falaki, PhD Originally published on Towards AI. Month in 4 Papers (April 2026) This series of posts is designed to bring you the newest findings and developments in the NLP field. I’ll delve into four significant research papers each month, …
How ChatGPT Makes You Addicted
Author(s): Felix Pappe Originally published on Towards AI. The downward spiral of relying on AI Agents Chatbots have taken the world by storm. ChatGPT’s adoption curve far outpaces the early growth of the internet.The article discusses the rapid adoption and integration of …
TAI #202: GPT-5.5 Moves Codex Into Real Work
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI released GPT-5.5 on April 23. In the same week, they launched workspace agents in ChatGPT and released Privacy Filter for PII redaction; Google …
Recent Posts
