Your AI Agent Has a Memory Problem Most AI agents start from zero every single session. DeepLearning.AI'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: https://hubs.la/Q049D48Z0
DeepLearning.AI
Software Development
Mountain View, California 1,339,706 followers
Making world-class AI education accessible to everyone
About us
DeepLearning.AI is making a world-class AI education accessible to people around the globe. DeepLearning.AI was founded by Andrew Ng, a global leader in AI.
- Website
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http://DeepLearning.AI
External link for DeepLearning.AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Mountain View, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Artificial Intelligence, Deep Learning, and Machine Learning
Products
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DeepLearning.AI
Online Course Platforms
Learn the skills to start or advance your AI career | World-class education | Hands-on training | Collaborative community of peers and mentors.
Locations
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Primary
Get directions
400 Castro St
Ste 600
Mountain View, California 94041, US
Employees at DeepLearning.AI
Updates
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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 long prompts encountered in books, web searches, and codebases by offloading prompts to an external environment and managing them programmatically. Learn more in The Batch: https://hubs.la/Q049x8HS0
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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 Google DeepMind Oracle, AMD, Actian, Neo4j, Arm and many more, including: - Andrew Ng (DeepLearning.AI) on the future of software development - Harrison Chase (LangChain) on the observability flywheel - Paige Bailey (Google DeepMind) on what's new and what's next in AI - Richmond Alake (Oracle) on agent memory - Emma McGrattan (Actian) on vector databases - Marina Mogilko (Silicon Valley Girl) will moderate a panel discussion featuring leaders from LangChain, Oracle, LandingAI, Replit, and more. Join us April 28 and April 29 at Pier 48 in San Francisco. 🎟️ Grab your tickets: https://hubs.la/Q049mnjP0
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OpenAI partnered with Amazon to build infrastructure for agents on the world’s largest cloud platform, a further sign that its close relationship with Microsoft is weakening. Learn more in The Batch: https://hubs.la/Q0498jXq0
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DeepLearning.AI reposted this
I’m thrilled to share that I’ve completed the "PyTorch for Deep Learning" Professional Certification from DeepLearning.AI! Through this three-course professional certificate, I’ve learned from Laurence Moroney (Director of AI at arm) to professionally handle challenges deep learning engineers face daily. Insights from him have been instrumental. I learned how to design efficient architectures, use transfer learning to fine-tune pretrained models, and apply interpretability techniques to understand model behavior better. I also practiced preparing optimized, portable models using ONNX and tracking my experiments with MLflow, while mastering modern AI techniques like pruning and quantization. The courses were concluded by hands-on projects focused on Computer Vision and Natural Language Processing. Very excited to keep applying these skills to build great products!
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Apple introduced AToken, a model that uses a shared tokenizer and encoder to process and generate images, videos, and 3D objects in one unified framework. The multimodal approach beats or rivals specialized models in performance and helps transfer knowledge transfer across media types, potentially reducing training data needs and improving applications. Read our summary of the paper in The Batch: https://hubs.la/Q048Hlml0
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CEOs are wasting millions on AI. Here's why. 💸 CEOs are pouring millions into AI, but simply swapping a human for an AI agent in the middle of a broken process won't change your business. True AI transformation requires an end-to-end workflow redesign. Don't just use AI to make the old way faster—use it to build a completely new experience. Ready to build AI workflows that actually move the needle? DeepLearning.AI offers free short courses to help you master agentic workflows and the latest AI tools. Start learning today: https://hubs.la/Q048n0CG0 Subscribe to The Batch newsletter for weekly AI insights: https://hubs.la/Q048mYWD0
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DeepSeek denied Nvidia and AMD early access to its upcoming DeepSeek-V4 while sharing the model with Huawei. The move highlights growing geopolitical friction between the U.S. and China, as export controls only have limited ability influence global competition for advanced hardware. Learn more in The Batch: https://hubs.la/Q048m_CX0
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DeepLearning.AI reposted this
Thank you for your wonderful support for our DeepLearning.AI Builder Night — Tokyo 🇯🇵 We brought together AI builders, founders, and engineers to build real applications in just a few hours. No slides. No theory. Just building. It was amazing to see teams go from idea → prototype → demo while getting feedback from global leaders and enterprise judges. 🏆 Winning Teams from Builder Night Tokyo What impressed me most wasn’t just the demos, it was how fast ideas turned into real prototypes. 🥇 smartyPants The question you wish you’d asked https://lnkd.in/g-7a6SVS 🥈 Hack and Chill "Nemawashi" — using Voice AI to gather and synthesize expert consensus https://lnkd.in/gvbaztmp 🏆 3rd Place (Joint) • Facility Revolution • StackUpAI （Due to a post-event review of scoring, we are recognizing both teams as joint 3rd place.） Huge respect to every team that showed up and built. What I’m seeing is clear: • Tokyo is ready. • Builders are here. • And they want to create — not just learn. We’re building something bigger: A global AI builder ecosystem across Tokyo, San Francisco, and New York. This is just the beginning. If you're building in AI — let’s connect. #AIBuilders #StartupCommunity #DeepLearningAI #TokyoTech #Hackathons #Tokyohackathons Special thanks: _Ariana Faustini Ashwyn Sharma Andrew Ng Gaurav Surtani Ray Banks Nikki Angco Ariel, Yu-An L. Jill Shih Ayame Anzai Zakaria Benkhalifa Nuno Coelho Santos Sunshine Burri Moise CONVOLBO, Ph.D David Bennett Jonathan Siegel Tuba Ali Tomoya M. Ken Varhama Abu Ergashov Denislav Metodiev Koki Sonoda Davide Petrillo Javier M. Samridh J. Jabari Lateef Daniel Jimenez Xiaobing (Matt) S.
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🛠️ Builders, show us what you made! If you've completed a project in the Build with Andrew course, we want to feature it. Your work inspires the whole community. Here's how to share: 📌 Go to the DeepLearning.AI Forum: https://hubs.la/Q0487N_00 📂 Post in the AI Discussions Category 🏷️ Tag it #build-with-andrew and #ai-discussions Let's see what you've built!
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