Agent Control Patterns — Part 4: ReAct — Thinking While Acting
Author(s): Vahe Sahakyan Originally published on Towards AI. So far in this series, we designed systems with predefined structure. We defined the execution flow. We separated reasoning from revision. We controlled when research happens. Even when loops were introduced, the workflow remained …
Agent Control Patterns — Part 3: Reflexion — When Review Triggers Research
Author(s): Vahe Sahakyan Originally published on Towards AI. A model can review its own answer and still return incorrect information. It may recognize uncertainty, improve its wording, and clarify its reasoning. But if the missing piece is factual, reviewing the answer again …
Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this
Author(s): Youssef Hosni Originally published on Towards AI. Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this Over the past year, adding an AGENTS.md or CLAUDE.md file to your coding repository has quietly become standard practice when using the coding …
TAI #194: AI Goes Macro; Job Loss Fears, Military Usage, OpenAI $110B Raise
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week brought a series of developments that signal AI is quickly becoming more than just a technology story: AI’s revenue, its politics, and …
OpenClaw Won’t Bite, A Zero-to-Hero Guide for People Who Hate Terminal
Author(s): Kamrun Nahar Originally published on Towards AI. What Even Is OpenClaw, Though? Let me tell it straight. OpenClaw is an open-source, self-hosted AI agent built by Peter Steinberger. It started life as “Clawdbot” in November 2025, got renamed to “Moltbot” after …
Runtime Reinforcement: Preventing “Instruction Decay” in Long Context Windows
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Floating Brain” Problem In our previous articles, we discussed how to give the agent knowledge (Graph), sight (Shape), and empathy (User Context). But even a perfect agent suffers from …
Essential Python Libraries for Data Science
Author(s): Raj kumar Originally published on Towards AI. If you look closely at real-world tabular machine learning systems, a clear pattern emerges. Across industries, datasets, and problem domains, the same class of models keeps appearing in production environments. It is not deep …
Your Sentence Has a Secret Structure. Here’s How GPT Sees It.
Author(s): Rohini Joshi Originally published on Towards AI. Image Generated by ChatGPT The sentence “dog bites man” and “man bites dog” contain the exact same words. A Transformer without positional encoding would treat them as identical. Here’s how modern LLMs learn word …
GenAI Interview Questions asked in different companies
Author(s): Sachin Soni Originally published on Towards AI. Q.1 Can you define encoder-only, decoder-only, and encoder-decoder-only architecture? 1. Encoder-Only Architecture Uses only the encoder stack of the Transformer. The encoder focuses on building deep contextual representations (generating dynamic contextual embeddings) of the …
The Geometry of Attention: One Space, Two Operators
Author(s): GSO1 Originally published on Towards AI. How two operators in one space reveal what four projections hide The goal of single-headed attention is to enhance the contextual awareness of a fixed token, or query, based on content from other tokens. This …
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