TAI #187: OpenAI’s Health Push and the Real State of LLMs in Medicine
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI made its biggest healthcare push this week with two launches: ChatGPT Health for consumers and OpenAI for Healthcare for enterprises. The consumer product …
LLM & AI Agent Applications with LangChain and LangGraph — Part 27: The Publisher Agent (News → Summary → Article → Critic → Improve)
Author(s): Michalzarnecki Originally published on Towards AI. Hi. In this part I’ll run and demonstrate a publisher agent — a system that autonomously aggregates news from the web, summarizes the most important points, and then generates an article based on that material. …
How to Think Like a Prompt Engineer (Not Just Write Better Prompts) | M007
Author(s): Mehul Ligade Originally published on Towards AI. How to Think Like a Prompt Engineer (Not Just Write Better Prompts) | M007 📍 Abstract Most prompt engineering content teaches you tactics. “Be specific.” “Add examples.” “Use chain of thought.” These work for …
Quantization and Fine-Tuning in LLM: Cut Model Size by 75% Without Losing Accuracy
Author(s): Alok Choudhary Originally published on Towards AI. Transform massive AI models into lightweight versions. Discover how quantization makes LLMs accessible on mobile and edge devices. In the world of Large Language Models (LLMs), two concepts are absolutely crucial for making these …
LLM & AI Agent Applications with LangChain and LangGraph — Part 17: Criteria Evaluator
Author(s): Michalzarnecki Originally published on Towards AI. Hi! The next evaluation technique that we will learn in this part is the Criteria Evaluator. The idea is simple, but extremely powerful: the answer generated by your model is passed to another, typically stronger …
Your Brain Already Does Multimodal AI. It Took Us 10 Years And 7 Breakthroughs To Copy It.
Author(s): DrSwarnenduAI Originally published on Towards AI. See cat. Hear “cat”. Read “cat”. Same concept. Here’s every innovation that made GPT-4V possible. Close your eyes. I say “cat.” mimic human sensoryThe article discusses the advancements in AI, particularly focusing on the development …
The $14 vs $2 Plot Twist: Why GLM-4.7 Just Broke the AI Leaderboard
Author(s): Adham Khaled Originally published on Towards AI. Ranking #6 on the Artificial Analysis Index, this open-weight model just made “Agentic AI” affordable for the rest of us. Two months ago, I wrote about how GLM-4.6 was the “Claude-level AI at 1/7th …
Master Pandas Performance with Python: 7 Lessons Every Junior Data Scientist Needs
Author(s): Mouez Yazidi Originally published on Towards AI. Hands-on examples that show you how to optimize memory and execution without leaving Pandas. If you’re new to Pandas and want a quick introduction before diving in, check out this beginner-friendly guide to get …
Google’s Nested Learning: The Brain-Inspired AI That Never Forgets 🧠✨
Author(s): Sai Insights Originally published on Towards AI. Google’s Nested Learning: The Brain-Inspired AI That Never Forgets 🧠✨ Discover how Google’s Nested Learning framework, inspired by neuroscience, solves AI’s biggest problem — catastrophic forgetting. Learn about HOPE, multi-frequency memory, and the future …
Last Week in AI: OpenAI’s “Code Red”, Anthropic’s Quiet Confidence, Claude 4.5, Gemini 3 Dominance, and Meta’s Publisher Deals (Dec 1–7, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly breakdown of what actually mattered in artificial intelligence — without the noise. This week was pure fire — from OpenAI’s urgent “code red” scramble against Google’s Gemini 3 dominance, Anthropic’s cool-headed Claude 4.5 …
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