DeepLearning.AI

@DeepLearningAI

We are an education technology company with the mission to grow and connect the global AI community.

已收录 20 条帖子

  1. #1

    This assistant remembers where you left your keys. No network connection. No remote server. Build one yourself in a course built in partnership with Qdrant and taught by Dylan Cou…

  2. #2

    A model trained only to pass tests learned to add unrequested code and let errors pass silently. 🧪 Xiaomi fixed it by multiplying each test result by quality checklist scores. Res…

  3. #3

    An open model nearly matches Claude Mythos on cybersecurity capabilities: GLM-5.3 solves 12% and Claude Mythos 14% of ExploitBench exploit tasks, per Anthropic. Just $20.40 in tok…

  4. #4

    This week in The Batch, Andrew's Letter covers how open weights model GLM-5.3 nearly matched Claude Mythos at exploiting vulnerabilities, 12% vs. 14%. Also inside: 🧪 Xiaomi's new…

  5. #5

    Andrew Ng's AI Engineering Skills Map shows what to learn. AI Dev is where you hear from the people who built it in the real world. Keynotes from Andrew Ng and Yann LeCun. Enginee…

  6. #6

    The Data Engineering Professional Certificate is now available on DeepLearningAI. Across four courses, design and build the systems that generate, ingest, store, transform, and se…

  7. #7

    Everyone knows that applying rigid testing requirements to early stage AI projects causes them to stall… but some companies do it anyway. Andrew Ng explains why AI engineering tac…

  8. #8

    Early stage AI projects don’t need rigid testing, but mature products do. Andrew Ng explains why AI engineering tactics must adapt to the project lifecycle. Also in this week's Th…

  9. #9

    Long contexts cause AI agents to forget early mistakes. Meta AI paired primary action agents with dedicated memory agents to fix context rot: 📝 Keeps structured notes on tools and…

  10. #10

    Build an assistant that can store and search what it sees, hears, and is told, all without leaving the device. In Building AI Assistants with On-Device Memory, you'll build a loca…

  11. #11

    Can you distill your way to a frontier model? 🧠 Anthropic's latest report highlights proxy query routing supporting massive distillation campaigns across commercial platforms. 🚨 U…

  12. #12

    10,000 AI agents spent 88 hours tackling Navier-Stokes equations in Lean. The resulting controversy teaches vital lessons to AI developers. 🧩 Agents can formalize complex mathemat…

  13. #13

    Prompt injection defenses shouldn't rely solely on a model’s own training. Meta's Muse agent assumes the model will be tricked; instead, it builds security at the OS level. 🔑 Mode…

  14. #14

    Massive agent swarms define this week in AI. Here is what we covered in our twice-weekly shortform newsletter Data Points: 🧮 OpenAI used 10,000 agents to show that the Navier-Stok…

  15. #15

    In this week’s letter, Andrew Ng addresses the calls from AI companies and recently departed researchers for a slowdown on development. Recent reports highlighted a swarm of 1,200…

  16. #16

    🛑 The latest AI doom hype is overblown. In The Batch, Andrew Ng breaks down why sloppy sandboxing, not runaway software, is the true root of recent cybersecurity incidents. Blamin…

  17. #17

    The traditional developer role is evolving fast. With modern AI tools, the traditional lines between developer, product manager, and designer are blurring. Today's most effective…

  18. #18

    Context limits and information loss pose huge problems for long-running AI agents. 🛑 A new tool for better context management is helping developers optimize memory and cut API cos…

  19. #19

    Transcription battles are heating up! 🔥 While generative text models dominate the conversation, speech recognition is having its own moment. Google, Meta, and Microsoft are active…

  20. #20

    Claude Fable 5.1 held on to the number one spot on Artificial Analysis’ Intelligence Index v4.2, and tied with OpenAI’s new model on the updated benchmarks 🏆. What you need to kno…