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Agentic AI, taught by @AndrewYNg, is now available worldwide. Learn to design and evaluate AI systems that plan, reflect, and collaborate across multiple steps, built in raw Python. Available exclusively at @DeepLearningAI. Enroll now 👉 hubs.la/Q03MxSyV0
In the latest issue of The Batch, Andrew Ng argues that disciplined evals followed by error analysis is the key to accelerating progress on agentic AI systems. Plus: - OpenAI strengthens ties with AMD - DeepSeek cuts inference prices - Tinker aims to make multi-GPU fine-tuning…
Alibaba rounded out its Qwen3 family with: - Qwen3-Max, a closed-weights 1T-parameter MoE model (262k-token input; API from ~$1.20/$6.00 per 1M input/output tokens) - Qwen3-VL-235B-A22B, an open-weights vision-language model (text/image/video, up to 262k→1M tokens) that tops…
How do you build a Super Agent that scales? On November 14, hear Kay Zhu, Co-founder and CTO of @genspark_ai, explain how giving AI agents more autonomy and the right tools enables smarter systems. ✨ Join his session at AI Dev 25 x NYC! Get your tickets here:…
Our new Agents course in collaboration with @DeepLearningAI is live. Very excited about this one because you’ll learn how to build live agents. Great work team!
Learn to build your own voice-activated AI assistant that can execute tasks like gathering recent AI news from the web, scripting out a podcast, and using tools to put all that into a multi-speaker podcast. See our new short course: "Building Live Voice Agents with Google’s ADK…
Our new short course, Building Live Voice Agents with Google’s ADK, shows you how to create real-time conversational agents that listen, reason, and respond naturally. You’ll learn to use Google’s open-source Agent Development Kit to: 🎤 Build live voice agents that connect to…
OpenAI and Meta unveiled consumer products to boost engagement and revenue. OpenAI launched: 📱Sora 2, a TikTok-style app for AI-generated clips 💻 ChatGPT Pulse, a personalized briefing feed that pulls from chats and connected apps 🛒 Instant Checkout for buying Shopify/Etsy…
Claude Sonnet 4.5 adds a variable reasoning-token budget, larger contexts (200k–1M tokens in), and improved performance on multiple coding and reasoning benchmarks, available to try free on their website and via API at $3/$15 per million input/output tokens. Anthropic also…
In the latest issue of The Batch, Andrew Ng announces his latest course, Agentic AI, a hands-on builder course using four key design patterns (reflection, tool use, planning, and multi-agent collaboration). Plus: 🗞️ Anthropic launches Claude Sonnet 4.5 and overhauls Claude Code…
Turing (@turingcom) bridges the gap between AI research and deployment, powering frontier labs and companies with expert data, talent, and tools. Meet their team at AI Dev 25 x NYC and learn how they’re advancing AI at scale. 🎟️ Secure your tickets now → hubs.la/Q03MGBb-0
Google released “AlphaEarth Foundations,” a set of time embeddings that represent every 10-meter square of Earth from 2017–2024. Trained on optical, radar, and thermal satellite data (and aligned with geotagged text), the embeddings help track the entire planet's climate, land…
Twice a week, Data Points brings you the latest AI news, tools, models, and research in brief. In our latest edition, you’ll find updates on OpenAI, Google, Zhipu AI, Anthropic, and more. Read Data Points and sign up here: hubs.la/Q03MN3dq0
Sweden’s performing rights society, introduced a pilot license that lets AI devs train on opted-in songs. A startup's attribution technology tracks each work’s influence on a model's output and compensates the original artists accordingly. Learn more: hubs.la/Q03MMRsV0
We’re proud to partner with @Prolific for AI Dev 25 x NYC. Prolific helps AI teams stress-test, debug, and validate models with real human data, ensuring safer, production-ready AI. 📍 On November 14, stop by their demo table to see how human evals can be set up in minutes, or…
Announcing my new course: Agentic AI! Building AI agents is one of the most in-demand skills in the job market. This course, available now at deeplearning.ai, teaches you how. You'll learn to implement four key agentic design patterns: - Reflection, in which an agent…
Researchers used AI models trained on DNA to design new bacteriophages (viruses that infect bacteria) that target E. coli. From 11,000 AI-generated genome candidates, they filtered to 302 and successfully built 285. In lab tests, several new phages either killed resistant E.…
Our course recommendation of the day is “Post-training of LLMs, ” where you’ll learn how to customize pre-trained language models using Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Online Reinforcement Learning (RL). You'll learn when to use each…
Researchers introduced GAIN-RL, a method that fine-tunes language models by training on the most useful examples first. It ranks data using a simple internal signal from the model. On Qwen 2.5 and Llama 3.2, this method matched baseline accuracy in 70 to 80 epochs instead of…
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