This One Change Made My Random Forest Faster and More Accurate|Machine Learning|AI
Author(s): Tina Sharma Originally published on Towards AI. I removed most of the trees without retraining the model A Random Forest is a model made by combining many decision trees.Each tree looks at the data slightly differently and makes its own prediction. …
GLM-4.7-Flash: Z.ai’s Free Coding Model and What the Benchmarks Say
Author(s): JP Caparas Originally published on Towards AI. A look at the 30B MoE model that just dropped with unlimited free API access Z.ai announced GLM-4.7-Flash a few hours ago. The model is free. Not “free tier with limits” free, but actually …
The 7 Essential Types of LLM Benchmarking: A Complete Guide to Evaluating AI Language Models
Author(s): TANVEER MUSTAFA Originally published on Towards AI. The 7 Essential Types of LLM Benchmarking: A Complete Guide to Evaluating AI Language Models As Large Language Models (LLMs) become integral to business operations and everyday applications, understanding their true capabilities has never …
Important LLM Papers for the Week From 12/01/2026 To 17/01/2026
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers must stay informed about the latest …
Meta’s Reckoning: $73B in Metaverse Losses, an AI Talent Exodus, and Zuckerberg’s $14B Reset
Author(s): Zoom In AI Originally published on Towards AI. Reality Labs is shrinking. Meta’s AI org has been rattled by a benchmark controversy. And a geopolitically sensitive AI-agent deal is now under regulatory scrutiny. The pivot is real. The question is whether …
Prompt Repetition Boosts LLM Accuracy 76% Without Latency Increase
Author(s): MKWriteshere Originally published on Towards AI. How repeating prompts twice improves the non-reasoning model accuracy from 21% to 97% while maintaining zero latency overhead I avoid reasoning models in production. Latency kills user experience, and the token costs add up quickly …
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 …
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 …
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 …
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