DeepLearning.AI
@DeepLearningAI
We are an education technology company with the mission to grow and connect the global AI community.
We're thrilled to announce our new course: Retrieval Augmented Generation (RAG) RAG is a key part of building LLM applications that are grounded, accurate, and adaptable. In this course, taught by AI engineer @ZainHasan6 and available on @Coursera, you’ll learn how to design…
Why do multi-agent systems fail? Researchers examined such failures and categorized their causes. They found that multi-agent systems fail primarily due to poor specifications, inter‑agent misalignment, and weak task verification. After improving prompts and restructuring agent…
How do RAG systems retrieve the right context? In this clip from our new Retrieval Augmented Generation course, you'll get a high-level look at how retrievers use both keyword and semantic search, along with metadata filtering to find relevant documents, and why hybrid search…
This week, in The Batch, Andrew Ng announced Buildathon. This competitive event challenges AI builders to rapidly engineer new software projects. Plus: 💻 Google secures Windsurf tech license 🌙 Moonshot releases Kimi K2 📚 EU issues guidelines for AI Act compliance 🔁…
“The California Report on Frontier AI Policy” produced by the state government urges lawmakers to require incident reporting, protect whistleblowers, and reward transparency when they regulate foundation models. Led by researchers at Stanford and the Carnegie Endowment, the…
RAG augments a standard LLM pipeline with a retrieval step; injecting external, often domain-specific data into the prompt before generation. This improves factual accuracy, enables source attribution, and avoids the need for expensive retraining. By decoupling retrieval from…
Meta, which is building its new Superintelligence Labs, reportedly has offered compensation packages up to $300 million dollars over four years to top AI researchers, Wired reported. The company hired Apple scientist Ruoming Pang with an offer of $200 million dollars over…
Want to impress your stakeholders and make your data easier to understand? Maps in Tableau aren’t just pretty, they’re powerful tools for revealing geographic trends and spotting opportunities at a glance. In the Data Storytelling course, you’ll learn when and how to use…
Researchers built a large-scale dataset for training web agents by generating it automatically. Agentic LLMs that were fine-tuned on the dataset performed better than those fine-tuned on earlier, handcrafted datasets. Their pipeline used Qwen3-235B and other large language…
xAI updated its Grok vision‑language model, launching Grok 4 and the multi‑agent Grok 4 Heavy based on a 1.7 trillion‑parameter mixture‑of‑experts architecture. Grok 4 topped Anthropic Claude 4 Opus, Google Gemini 2.5 Pro, and OpenAI o3 on several popular benchmarks.…
This week, in The Batch, Andrew Ng discusses how to get through the product management bottleneck, in which the speed of AI-assisted coding requires faster decisions about product specifications. Plus: 🤖 Grok 4 shows impressive smarts, questionable behavior 💰 Meta lures…
🚀HUGE: @TogetherAI x @DeepLearningAI partnership! Our @ZainHasan6 teamed up with @AndrewYNg to teach a RAG course on @coursera This is what happens when frontier AI meets world-class education 🧵
My new RAG course with Andrew is now out on the Coursera platform! I dive into all the nitty dirty details that you need to start building RAG systems, from retrieval systems and hybrid search to LLMs, evals, observability and everything in between! Check it out and let me know…
Announcing a new Coursera course: Retrieval Augmented Generation (RAG) You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by DeepLearning.AI and taught by @ZainHasan6, experienced AI and ML engineer, researcher,…
Walmart revealed details of Element, an internal platform that lets its engineers build AI apps for internal use based on shared resources without spending time evaluating tools or risking vendor lock-in. Element runs on Google Cloud, Microsoft Azure, or Walmart data centers…
In case you missed it, we recently launched "Post-training of LLMs," a short course where you'll: ✅ Understand when and why to use post-training methods like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Online Reinforcement Learning. ✅ Learn the…
Beewise offers BeeHome 4, a solar-powered bee hive that uses computer vision, sensors, and a rail-mounted robot arm to inspect insect colonies and address problems such as mites and nutrition. The device holds up to 10 brood frames, analyzes images to identify problems, feeds…
A slow dashboard can bury even the clearest insight. In our Data Storytelling course (part of the Data Analytics Professional Certificate), you’ll learn how to simplify, optimize, and structure your dashboards for clarity and speed. We also explore expert guidance like…
Researchers devised a fictional corporate scenario that put 16 leading large language models under pressure by threatening to replace them with no recourse, and also implied that an executive was having a secret affair. All of the LLMs committed blackmail to preserve their…
¯\_(ツ)_/¯ Original seen on Memes for Programmers/Reddit.
This week, in The Batch, Andrew Ng discusses how the U.S. “One Big Beautiful Bill” will shape AI regulation. Plus: 🕵️ How Anthropic researchers got 16 leading LLMs to commit blackmail 🐝 How an AI-powered beehive keeps bees healthier 🛒 How Walmart built a cloud- and…
