Did AGI Already Arrive While We Were Busy Arguing About What It Means? 🤖
Author(s): AbhinayaPinreddy Originally published on Towards AI. Wait… Did We Miss It? Imagine waiting for a big moment your whole life. You’re staring at the horizon, expecting fireworks and fanfare. Meanwhile, the thing you’re waiting for quietly walks in through the back …
The 390x Speed Advantage: Unpacking AI’s Victory in Clinical Diagnosis
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The headline writes itself: AI defeats human doctors in medical diagnosis, delivering results in under two seconds versus 13 minutes. But beneath this dramatic 390x speed differential lies a far more nuanced story about …
Free AI APIs 2026: 39 Battle‑Tested Options For Indie Devs And Creators
Author(s): Shauvik Kumar Originally published on Towards AI. Early AI optimism promised openness. Reality in 2026 looks very different. That line hits different in 2026. 39 Free AI APIs That Let You Build Without Spending a Dime in 2026This article discusses the …
🧭 The End of Pipelines as We Know Them
Author(s): Darji | AgentFlux Originally published on Towards AI. 🧭 The End of Pipelines as We Know Them What Replaces CI/CD After AI/CD By Darji — Founder of AgentFlux The Pipeline Didn’t Break — It Just Aged CI/CD pipelines didn’t fail. They …
LLM & AI Agent Applications with LangChain and LangGraph — Part 29: Model Agnostic Pattern and LLM API Gateway
Author(s): Michalzarnecki Originally published on Towards AI. Hi! In this part we’re moving from experiments and prototyping into the real world — production deployments. Because the truth is: building a working notebook or a proof-of-concept is only the beginning. The real challenges …
Why 90% of Agentic RAG Projects Fail (And How to Build One That Actually Works in Production)
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini Most enterprise AI pilots fail. McKinsey’s research found only 10–20% of AI proofs-of-concept scale beyond pilots. Why? Teams treat production systems like demos. I’ve seen companies spend six months building agentic …
Top 10 AI Wins and Fails from 2025 You Probably Missed 🤖🔥
Author(s): AIversity Originally published on Towards AI. A deep dive into the $5 trillion milestones, the $1.6M hallucinations, and the breakthroughs that changed the game forever. I hope you’re ready, because if 2024 was the year of “asking what AI can do,” …
LLM & AI Agent Applications with LangChain and LangGraph — Part 19: Guardrails (Safety Barriers for LLMs)
Author(s): Michalzarnecki Originally published on Towards AI. Hi! In this chapter we’ll move to another topic that is just as practical — and in many real applications, absolutely critical: Guardrails, a safety-barrier system for language models. Guardrails are simply a set of …
LLM & AI Agent Applications with LangChain and LangGraph — Part 9 — Conversation Memory
Author(s): Michalzarnecki Originally published on Towards AI. Welcome back to another article focused on the LLM-driven applications development. In this part of the course we’ll look at memory in LangChain — in other words, how to make sure that the assistant you’re …
LLM API Token Caching: The 90% Cost Reduction Feature when building AI Applications
Author(s): Nikhil Originally published on Towards AI. LLM API Token Caching: The 90% Cost Reduction Feature when building AI Applications If you’ve used Claude, GPT-4, or any modern LLM API, you’ve been spending far more than necessary on token processing if you …
Recent Posts
