TTS LATENCY JUST DIED: This One Generates Perfect Speech in ONE STEP (10X Faster Than ElevenLabs)
Author(s): Gowtham Boyina Originally published on Towards AI. How This Open-Source Voice Agent Model Kills the 10-Step TTS Bottleneck Forever — Real-Time Conversations Under 200ms with Natural Laughter, Coughs & Zero-Shot Voice Cloning I’ve worked with text-to-speech models for voice agents, and …
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 …
The Missing Piece of Your AI Strategy: Distribution
Author(s): Tyler Moynihan Originally published on Towards AI. The past three decades have taught a simple truth: the best product rarely wins on its own. In the 1990s, the coolest websites without distribution vanished. In mobile, countless apps out-innovated peers only to …
This is How Google Finally Fixed AI Images: The Secret Sauce Behind “Nano Banana”
Author(s): Sayan Chowdhury Originally published on Towards AI. This is How Google Finally Fixed AI Images: The Secret Sauce Behind “Nano Banana” If you’ve been on the internet in the last six months, you’ve seen them: those hyper-realistic 3D figurines of your …
Top AI Tools of 2025: A Beginner-Friendly Guide to the Best AI Apps
Author(s): Aniket Sanyal Originally published on Towards AI. Top AI Tools of 2025: A Beginner-Friendly Guide to the Best AI Apps Artificial Intelligence (AI) is everywhere in 2025 — from writing your emails to creating art — and it’s transforming the way …
Inference Is the New Training
Author(s): Rashmi Originally published on Towards AI. Inference Is the New Training Inference Is the New Training refers to a paradigm shift where AI systems learn and adapt during inference time rather than just during pre-training. Instead of static models that only …
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 22: Building a RAG Chatbot in Streamlit
Author(s): Michalzarnecki Originally published on Towards AI. Hi! In this chapter we’ll build a simple, but fully working chatbot application based on RAG. It will load content from a few files containing website text and answer user questions in the context of …
AI Software in Healthcare, Pharmaceuticals, and Health Applications
Author(s): Andrei Besleaga (Nicolae) Originally published on Towards AI. Background Artificial intelligence (AI) is rapidly transforming healthcare delivery, pharmaceutical development, and health applications globally. This comprehensive review examines the current state, adoption patterns, clinical outcomes, and emerging applications of AI technologies across …
Ultimate Guide to KPI Measurement
Author(s): Shubhangi Goyal Originally published on Towards AI. Defining and Driving Measurable Goals Organizations often track dozens of metrics, yet struggle to measure what truly drives the outcomes. The difference lies not in data, but in how KPIs are defined and measured. …
LLM & AI Agent Applications with LangChain and LangGraph — Part 24: Connecting LangGraph with LLMs
Author(s): Michalzarnecki Originally published on Towards AI. Hi. In the previous part we built a simple graph that performed math operations step by step. That’s a good start — but the real power of LangGraph appears when we connect graph nodes with …
LLM & AI Agent Applications with LangChain and LangGraph — Part 23: Introduction to LangGraph
Author(s): Michalzarnecki Originally published on Towards AI. Hi! Welcome to the next article of the LLM-based application development series. In this part we will jump into LangGraph and build a simple graph showed below. So far we’ve learned about chains in LangChain. …
LLM & AI Agent Applications with LangChain and LangGraph — Part 20: Retrieval-Augmented Generation (RAG)
Author(s): Michalzarnecki Originally published on Towards AI. Hi! Welcome to next part of series related to LLM-based applications developments dedicated to Retrieval-Augmented Generation, or simply RAG. RAG is a pattern that very quickly became the foundation of many LLM-based applications. Why? Because …
How to Scale Your LLM Usage
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to increase LLM usage to achieve increased productivity The word scaling has perhaps been the most important word when it comes to Large Language Models (LLMs), with the release of ChatGPT. ChatGPT …
Meta Just Paid $2.5 Billion to Prove the Chatbot Is Dead
Author(s): MohamedAbdelmenem Originally published on Towards AI. The acquisition of Manus signals the shift from “Chat” to “Action.” Here is the 3-step audit to fix your AI strategy in 2026. Meta just spent $2.5 billion on a company with zero physical assets …
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