Explore tweets tagged as #deeplearning
Andrew Ng is the man behind Coursera & DeepLearning AI. He dropped a MASTERCLASS on AI careers I wouldn't be fading his advice at all...
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Researchers introduced TTT-E2E, a method that lets language models learn from context during inference by updating their weights. The method requires more complex and slower training, but enables stable accuracy and constant processing time even with long inputs. Learn more in
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The only sites you need to learn prompting: 1. OpenAI Documentation https://t.co/HzyrzDHhUy 2. Anthropic Prompting Guide https://t.co/LC88lKYKQE 3. DeepLearningAI Short Courses https://t.co/VnSk51YCJ8 4. Prompt Engineering Guide https://t.co/SOn69iRRyP 5. Awesome ChatGPT
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REPLIT RELEASED A VIBE CODING COURSE > completely free > learn how to build/deploy apps > very short (1-2 hours) Link: https://t.co/MBDvILG3Ex
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Surprise! We launched a calm playlist for coding, studying, or focused work. Whether you're debugging, reading, or building exciting new things after taking one of @DeepLearningAI's courses, this mix is designed to help you stay in flow without distractions. What you’ll find
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MIT just dropped their Deep Learning course for FREE! 🎓🤖 Stop scrolling and start learning from the best. Lectures 1 & 2 are officially live: 🔹 L1: Intro to Deep Learning 🔹 L2: Sequence Models & Transformers Master #AI, #LLMs, and #DeepLearning today. 🚀 🗓️ New lecture every
🤖 Dive into the fundamentals of #AI, #LLMs, #DeepLearning with @MITDeepLearning! Lectures 1 and 2 are officially live and online #FREE for all! 🧠 L1: Intro to Deep Learning https://t.co/tEyBB2Lb2m 🧠 L2: Sequence Models & Transformers https://t.co/tEyBB2Lb2m 🗓️ New lecture
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New course available! Efficient Inference with SGLang: Text and Image Generation is live. LLM inference gets expensive fast—mostly due to redundant computation. This course shows how to reduce that using SGLang, with KV cache and RadixAttention, and how to apply the same ideas
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AI Agents Tech Stack ! #AIAgents #Python #PythonProgramming #Coding #Programming #DataScience #MachineLearning #AI #DeepLearning
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3,000+ developers. Two days. AI Dev 26 x San Francisco is where the people building AI come together to discuss and shape the future of software engineering. Join Andrew Ng and leading experts across the field at Pier 48, April 28-29. Tickets are selling out. Grab yours today:
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We can’t wait to welcome you to AI Dev 26 in San Francisco this month! The agenda and speaker lineup for the AI Developer Conference are now live. You'll get to hear from and interact with industry leaders at @GoogleDeepMind, @Oracle, @AMD, @ActianCorp, @Neo4j, @Arm, and many
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We’re hiring a General Manager of Events to build and scale the AI Dev conference into a flagship for the global developer community at DLAI! Own strategy, content, partnerships, and growth, working closely with Andrew Ng. If you’re an event manager who understands developers
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Google launched Lyria 3, a music generator that creates 30-second songs from text or images. The updated model is now integrated into Gemini and YouTube. Google says the model is built with licensed training data and copyright safeguards, helping to navigate industry scrutiny
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The Data Scientist Mountain #Python #PythonProgramming #Coding #Programming #DataScience #MachineLearning #AI #DeepLearning
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When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally. MIT’s Alex L. Zhang, Tim Kraska, and Omar Khattab developed Recursive Language Models (RLMs) that process
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Multi-Score Reinforcement Learning for High-Tg Polyimide Design https://t.co/V6UB6WSEA5
@DuchetRumeau
#JCIM Vol66 Issue5 #MachineLearning #DeepLearning
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10 AI companies offering free courses to master AI for $0.00: 1. OpenAI: https://t.co/xjqzbDg6RQ 2. Google: https://t.co/i4L3YXe8fW 3. Microsoft: https://t.co/21hOpIty4v 4. NVIDIA: https://t.co/cYXuiAILsl 5. DeepLearningAI: https://t.co/yMQrAoKHNM 6. Meta:
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ChemTorch: A Deep Learning Framework for Benchmarking and Developing Chemical Reaction Property Prediction Models #DeepLearning
https://t.co/GeM3ulAQd4
#JCIM Vol66 Issue5 #ApplicationNote
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Your AI Agent Has a Memory Problem Most AI agents start from zero every single session. @DeepLearningAI's new course with @Oracle, "Agent Memory: Building Memory-Aware Agents," teaches you how to fix that by building a fully stateful agent from scratch. Check it out:
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An accidental leak exposed over 500,000 lines of Anthropic’s Claude Code, revealing its agentic structure: modular tools, subagent swarms, and layered memory management. The source code offers rare insight into how advanced agents operate today, and hints at potential future
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