#deeplearningmachine search results

🚀 An n8n script so powerful it’s like the neural core of the internet itself. 🌌 Scanning TikTok, IG, YT, LinkedIn, X & FB at lightspeed — predicting trends before they even exist. ⚡ Want it FREE? 1️⃣ Follow Must 2️⃣ Like+RT 🔁 3️⃣ Comment N8n 📥 I’ll DM it straight to you. 🔥

The attached picture is the simplest explanation of Machine Learning I've seen. In the regular world of writing code to solve problems, programmers write rules and apply them to data to produce the answers they need. Sometimes, writing those rules is really difficult. For…

🚨 AI just learned how to train itself and it’s terrifyingly effective. Stanford’s new paper just ended fine-tuning as we know it. It’s called Agentic Context Engineering (ACE) and it proves you can make models smarter without touching their weights. No retraining. No extra…

THIS research is the clearest signal of where AI is heading. for years, the race was about speed - faster responses, bigger models, more automation per second. but for the first time, the frontier is slowing down. “deliberative AI” systems like DeepMind’s *Reflection Agents*…

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Congrats to @deepseek_ai ! DeepSeek-R1 was published in Nature yesterday as the cover article, and vLLM is proud to have supported its RL training and inference🥰

Say hello to DINOv3 🦖🦖🦖 A major release that raises the bar of self-supervised vision foundation models. With stunning high-resolution dense features, it’s a game-changer for vision tasks! We scaled model size and training data, but here's what makes it special 👇

I'm deleting this in 24hrs because it's a legit formula to PRINT CASH. DeepSeek Prompts Cheatsheet You can make THOUSANDS building and selling them, and literally anyone can do it. Comment "DS" and I will DM you my full 23-hour video course right now! (must follow)

Most "agents" today are shallow while loops around an LLM and tools. Works for simple tasks, but fails when a task requires 50+ steps over several days. To solve complex problems, we need an architectural shift towards Deep Agents (Agents 2.0). We have to decouple planning…

🎟️🎟️Oct GAEA Tickets Giveaway🎟️🎟️ 1⃣Follow @bitxsea and @aigaealabs 2⃣ like and RT Fill in the GAEA UID in the Google Form below, and I will send you tickets for deep traning/decisions. Limited to the first 100 people. 2tickets/people👇 forms.gle/FpmnNkorJQezsb… #GAEA #GIVEAWAY…

GM BILLIONAIRE'S 💙🌅 can i get GM back? I keep thinking about the legal side of AI identity. @billions_ntwk isn’t waiting for regulators to catch up it’s already building an ethical framework around provenance and accountability. Their DeepTrust model lets AI agents prove…

🤖 Advanced Stock Research Agent A multi-agent system built with LangChain's DeepAgents that delivers professional stock analysis by combining real-time data, technical indicators, and financial examination. Check it out here 🔍 medium.com/@sagarnreddy/i…

If you've ever wondered how Large Language Models like ChatGPT work, this course is for you. It covers the data preparation, model training, and fine-tuning that has to happen before an LLM is ready to go. You'll learn about the whole training process from tokenizing raw text…

Dive into Deep Learning is a great resource for Machine Learning. Every theory is explained by providing concise snippets for Tensorflow, Pytorch and MXNet. Absolutely loving it! We need more books with code snippets! d2l.ai

🚨 Meta just killed traditional AI agent training Everyone's been stuck between two broken options: → Train on human demos (doesn't scale, agents can't recover from mistakes) → Use reinforcement learning (needs rewards, unstable, expensive) Meta + Ohio State found the middle…

AI can’t learn from itself, it can only truly learn from you. Your insight improves models across robotics, vision, and language.

🛠️ How to Train Your Own LLM — The Real Process, Step by Step Everyone talks about training models from scratch, but few explain what it actually takes. Here’s the real workflow and why most teams end up fine-tuning instead. 👇 A must-read for teams thinking about going deep…