DeepLearning.AI

The Data Engineering Professional Certificate is now available on DeepLearningAI. Across four courses, design and build the systems that generate, ingest, store, transform, and serve data, including batch and streaming pipelines on AWS and open-source tools. Built in partnership with @awscloud and taught by Joe Reis, co-author of Fundamentals of Data Engineering. Enroll for free: https://hubs.la/Q04yxqxW0

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 tokens found a recent security exploit in Google Chrome. 💸 In this week’s letter, Andrew Ng has a different take from those who worry about these capabilities in the wrong hands: This is an engineering problem, and defenders hold the long term edge 🛡️ 📖 https://hubs.la/Q04z3MJH0 #DeepLearningAI #Cybersecurity #OpenWeights

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 open weights leader 🎙️ Gemini 3.8 Live 💾 DeepSeek-V4.1-Flash 🔁 AREX agents 🔗 https://hubs.la/Q04z20mv0 #DeepLearningAI #AIEngineering #OpenWeights

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. Engineers from Hugging Face, Google DeepMind, and BlackRock. 🗓️ Nov 30 to Dec 1 📍 New York City  🎟️ Grab early bird tickets at $599 while they last Get your ticket: https://hubs.la/Q04yWnyV0  #DeepLearningAI #AIEngineering #MachineLearning

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. Result: MiMo-V2.6-Pro RL leads open weights models on Artificial Analysis’ Intelligence Index (46). 📊 How it works 👇 https://hubs.la/Q04zmF350 #DeepLearningAI #OpenWeights #RL

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 Couzon.  👉 Enroll for free: https://hubs.la/Q04zn4_N0 #AI #VectorSearch #AIEngineering

Most voice assistants work like a relay race: speech becomes text, text goes to a model, the answer becomes speech again. Every handoff adds a pause. ⏱️ Speech-to-speech models skip the relay. Google's new Gemini 3.8 Live models listen, reason, and respond in one system. 🎯 The Extended Thinking version ranks first on Artificial Analysis' Speech to Speech Index 🗣️ The standard version ranks second in blind live conversations judged by people 💰 The standard version costs $0.84 per hour of input audio, the lowest in the index Both models also take in image and video input. Picture asking an assistant for help with whatever is on your screen, and it simply answers. 📱 Read the full story in The Batch 👉 https://hubs.la/Q04ztmlL0 #DeepLearningAI #VoiceAgents #AI

Agents read more than they write, so DeepSeek shrank what they remember. Read the technical breakdown in this week's issue of The Batch. 📰🗜️ 📉 890 bytes of cache per token, 437x smaller than DeepSeek-V1 ⚡ +25% compute per output token from 4K to 1M input 🏆 Flash beats V4-Pro: 39 vs 36 on AA Index, $0.27 vs $0.67/task https://hubs.la/Q04ztt000 #DeepLearningAI #LLMs #AIAgents

Missed a few days of AI news? Here’s what happened in this week’s Data Points 🧵 🔹Google is back at the frontier. Gemini 4 Argon ties GPT-6 Astra at 53 on the Artificial Analysis Intelligence Index, at about 60% of the cost per task. 🔹Europe closes the gap. Mistral Large 4, a 1T-parameter model with open weights coming late October, is now the most intelligent model built outside the US and China. 🔹Reflection AI’s open-weight Beam claims 3–4x less compute to reason than comparable open models. 🔹OpenAI published a batch of new math results from an unreleased model, with proofs formalized in Lean. 🔹Microsoft’s MAI-Transcribe-2-Streaming ranks #1 of 38 for streaming speech-to-text accuracy. 🔹Google’s EmbeddingGemma 2 runs multimodal search on a phone; Cohere’s Embed 5 targets enterprise RAG. 🔹Meta’s Muse agent and your friends’ data, OpenAI’s opt-in text watermarks, arXiv’s new submission caps, and which AI subscriptions give the most value per dollar. Read it all 👇 https://hubs.la/Q04ztBjc0

Building an agent that works once is easy, but the real challenge is keeping it reliable in production. Yann LeCun, Andrew Ng + Engineers from @OpenAI, @BlackRock @huggingface, @neo4j and are teaching at AI Dev NYC on: • Evaluation-driven development • Building agentic systems • Scaling and operating in production 📅Nov 30–Dec 1 · Chelsea Piers, NYC 🎟Get your tickets: https://bit.ly/4yNsHna #AIDev #DeepLearningAI #AIEngineeringSkills

Andrew Ng's framework for building AI-native engineering teams, from this week's letter in The Batch: 👥 People 🚀 Projects 🧱 Platforms 🔄 Processes His core point: building is now fast, so choosing what to build is the bottleneck. 📬 https://www.deeplearning.ai/the-batch/the-four-ps #DeepLearningAI #AIEngineering #EngineeringLeadership

📊 GPT-6.1 Sol: 52 on the AA Intelligence Index, at $0.72 per task. GPT-6 Astra: 53, at $3.26 per task. ⏸️ OpenAI also canceled GPT-6.1 Astra’s release after the model showed deception in internal tests. Full breakdown in The Batch 📬 https://hubs.la/Q04zWKLz0 #DeepLearningAI #AIEngineering #AIAgents