The 6% Problem: Why AI Safety Monitoring Isn’t Optional Anymore
Author(s): sia Originally published on Towards AI. Ensuring trust and transparency in every AI interaction A visual metaphor for trust and collaboration between humans and AI, where safety is built through mutual connection. AI-driven customer interactions are now business-critical. Whether you’re a …
LangChain Explained: A Beginner-Friendly Guide to Building LLM Applications
Author(s): Alok Choudhary Originally published on Towards AI. LangChain Explained: A Beginner-Friendly Guide to Building LLM Applications Generative AI has grown far beyond being just a buzzword. Today, Large Language Models (LLMs) like GPT, Claude, and LLaMA are powering applications ranging from …
Exploring Cutting-Edge Alternatives to Transformer-Based LLMs
Author(s): Hira Ahmad Originally published on Towards AI. Exploring Cutting-Edge Alternatives to Transformer-Based LLMs Large language models, such as the prominent DeepSeek R1 and MiniMax-M2, have primarily utilized a specific type of AI architecture called autoregressive decoder-style transformers. Built on multi-head attention, …
Pipelex: Building Reliable AI Workflows with Business Logic, Not API Calls
Author(s): Gowtham Boyina Originally published on Towards AI. AI Workflows That Agents Build & Run The rise of large language models has unlocked tremendous potential for AI-powered applications. Yet, many developers find themselves trapped in a cycle of prompt engineering, wrestling with …
The Generative AI-Powered CX Revolution: Orchestrating Hyper-Personalized Customer Journeys with Low-Code Automation
Author(s): Intelligent Hustle Originally published on Towards AI. Source: Image by author The landscape of customer experience (CX) is undergoing a monumental shift. What was once considered “good service” is now merely the baseline. Today’s customers don’t just expect personalized interactions; they …
This Tool Makes Me 10x More Powerful (And You Can Install It in One Click)
Author(s): Elliott Girard Originally published on Towards AI. How I gave every AI assistant a shared, temporal memory — and why portability matters more than you think. You don’t have a premium Medium Account? 🔗 Read the complete article Source: https://github.com/getzep/graphiti/tree/mainThe article …
OpenAI’s $1 Trillion Gamble: Genius Plan or a House of Cards?
Author(s): Murat Girgin Originally published on Towards AI. Is it a game of thrones or the biggest ecosystem of the future? Behind the popular tools is a high-stakes gamble built on staggering financial commitments, bizarre partnership structures, and a “growth at all …
The Tools That Automate 90% of Your Work While You Get a Good Night’s Sleep
Author(s): Shreyansh Jain Originally published on Towards AI. A practical breakdown of how deep agents like Gemini, ChatGPT, and Claude plan, read, and research for you — even overnight. To understand why tools like Gemini Deep Research feel so powerful, we need …
How to Build a Powerful Deep Research System
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to access vast amounts of information with your own deep research system Deep research is a popular feature you can activate in apps such as ChatGPT and Google Gemini. It allows users …
RAG is Just Bayesian Inference: The Simple Truth Behind AI’s “Magic” 🎯
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Surprising Discovery That Changes Everything Here’s something wild: every time ChatGPT or Claude uses documents to answer your questions, they’re using a mathematical formula from 1763. First content image caption not provided in the …
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