How to Increase Coding Iteration Speed
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to become a more efficient programmer with local testing When developing code, you often need to test it before pushing to the development or production environment. However, waiting for a deploy with …
The Builder’s Notes: Prior Authorization Wastes 16 Hours Per Week Per Physician. Here’s What It Actually Costs.
Author(s): Piyoosh Rai Originally published on Towards AI. Physicians spend 16 hours/week fighting insurance companies for treatment approval. That’s $70K/year per doctor in lost productivity. For a 10-physician practice: $2M in time spent on paperwork instead of patients. Here’s the math that …
I Tested a 7B Model That Beat Models 7× Its Size. Here’s What I Found.
Author(s): Adham Khaled Originally published on Towards AI. The Falcon-H1R doesn’t make sense on paper. Until you understand what UAE’s TII actually built. Last Saturday, I downloaded a model that shouldn’t exist. 7 billion parameters. Open-source. From Abu Dhabi. On paper, it’s …
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 7-Day Collapse of Grok’s Safety Promises
Author(s): Ahmed M. Abdelfattah Originally published on Towards AI. How Musk’s chatbot failed child safety tests and what product teams need to know before deploying AI image generation Every major AI company claims their image generators have safety guardrails. Grok’s January collapse …
Local Agents 2026: Building Privacy-First Workflows with Ollama + LangGraph
Author(s): Adi Insights and Innovations Originally published on Towards AI. Why the future of enterprise AI is offline, private, and running in your basement In 2023, the race was for “Smartest Model.” In 2024, it was “Cheapest Token.” Local Privacy AgentThe article …
This Is Why Your Model Hallucinates (And You Blame the Wrong Thing) | M008
Author(s): Mehul Ligade Originally published on Towards AI. This Is Why Your Model Hallucinates (And You Blame the Wrong Thing) | M008 📍 Abstract Your model just invented a legal citation that does not exist. It confidently stated facts that are completely …
7 Agentic AI Trends Redefining the “Year of the Proof” in 2026
Author(s): ML Point Originally published on Towards AI. 7 Agentic AI Trends Redefining the “Year of the Proof” in 2026 In 2024 and 2025, the tech world was riding a massive, intoxicating AI high. We fell for the myth of the ‘general-purpose …
How to Conduct a Literature Review in AI & Machine Learning
Author(s): Ayo Akinkugbe Originally published on Towards AI. A Technical Guide to Surveying, Synthesizing, and Positioning Your AI Research Photo by Kristine Wook on Unsplash What’s So Lit About a Lit Review? A literature review is the backbone of any meaningful research …
Long Context Compaction for AI Agents — Part 2: Implementation and Evaluation
Author(s): Kihyeon Myung Originally published on Towards AI. The complete implementation is available here In Part 1, we explored how context grows in agent systems and how Bedrock AgentCore Memory extracts summaries asynchronously. Your agent has been running for a while. Session …
Part3: Guide to Hugging-face AutoModels** for Audio
Author(s): Sachchida Nand Singh Originally published on Towards AI. In series of AutoModel** for We have discussed for Text based NLP models in part 1 and Vision based Models in Part2 Now we will discuss the Audio Based Models in this part …
Agent Lightning: From Agent Experiments to Self-Improving AI Systems
Author(s): Rashmi Originally published on Towards AI. Agent Lightning: From Agent Experiments to Self-Improving AI Systems Agent Lightning is a training and optimization runtime for agents. Agent Lightning is an innovative, research-driven, open-source initiative by Microsoft that focuses on transforming agent executions …
CNN vs RNN: Two Brains of Deep Learning
Author(s): Rashmi Originally published on Towards AI. CNN vs RNN: Two Brains of Deep Learning Convolutional Neural Network (CNN) is a specialized deep learning architecture designed to process grid-like topology data, primarily images, by automatically learning spatial hierarchies of features through backpropagation. …
I Built an AI Code Reviewer That Learned From My Mistakes (So I’d Stop Making Them)
Author(s): Kriti Pare Originally published on Towards AI. The Third Time I Made the Same Mistake, I Knew Something Had to Change The most frustrating part? I knew better. I’d made this exact mistake at my previous job. Multiple times. It wasn’t …
How Real-Time Data Transforms AI: From Chatbot Failures to Fraud Prevention (And Why Your Business Needs It Now)
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Million-Dollar Mistake You’re Probably Making 💸 Picture this: A customer just canceled their premium subscription to your service. They’re frustrated, they’ve already received a confirmation email, and now they’re chatting with your fancy AI …
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