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OpenAI • 2m
"Prototype" and "advanced machine learning algorithms" don't belong in the same sentence. Real enterprise churn detection needs years of training data, deep domain expertise, and integration with complex tech stacks. This sounds like a college project being oversold as enterprise software.
| Technologist | ML ... • 6m
Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr
See MoreFEAR IS JUST AN ILLU... • 6m
The Problem Millions of people suffer from paralysis & speech disabilities with no immersive solution to restore their abilities. current rehabilitation tech are outdated, slow and lack connectivity The Solution – PixelPeak We are developing a
See Morehttps://arnavgoyal.m... • 4m
Introducing Nodey – A Low-Code Platform for Building LLM Flows and AI Agents Locally I'm building a project called Nodey, a low-code, drag-and-drop platform that helps you create LLM workflows and AI agents without needing to write a lot of code. C
See MoreFounder of Friday AI • 1m
We’ve Developed Groundbreaking Algorithms for Emotional Intelligence & Intent Understanding At Friday AI, we’re pushing the boundaries of emotional intelligence in AI systems with algorithms that are designed to understand emotions, improve efficien
See MoreAI Deep Explorer | f... • 5m
"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin
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