5/ Evaluation & Optimization Prompts aren’t “set it and forget it.” They A/B test, evaluate, and refine. They track hallucinations, latency, cost, and safety. Prompt engineers treat prompts like software always in iteration.
MACHINE LEARNING
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Language Design with Proven Frameworks for Reasoning and Output
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2/ Language Design They use proven frameworks — not guesswork. • Chain of Thought
• ReAct (Reason + Act)
• Tree of Thought
• RAG (Retrieval-Augmented Generation)
• Few-shot prompts These guide reasoning, structure, and output control. It’s language as architecture. -
DeepMind AI Replicates Fruit Fly Behavior Using MuJoCo Physics Simulator
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DeepMind built an AI that replicates how a fruit fly walks, flies, and behaves — using MuJoCo, its open physics simulator
— Rowan Cheung (@rowancheung) 24 avril 2025
The work will help scientists understand what drives specific behaviors in the fly, finding links that labs can't always measurepic.twitter.com/hziUoOGZWODeepMind built an AI that replicates how a fruit fly walks, flies, and behaves — using MuJoCo, its open physics simulator The work will help scientists understand what drives specific behaviors in the fly, finding links that labs can't always measure
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VLMs and robot models capabilities discussion
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VLMs are so impressive for open-vocab interactions! Can you share more about the “robot models”? Are you using GOFE?
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Google AI Co-Scientist: Automation and Memory for Research
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#ICLR2025 don't miss the Google Cloud AI Research's work on real-world agents, focusing on co-scientist collaboration, data science automation, and memory for personalized interactions, presented today at 10 AM by Tomas Pfister & Jinsung Yoon. https://t.co/3RwaZxoPKN pic.twitter.com/oB1SejWeIA
— Google AI (@GoogleAI) 24 avril 2025#ICLR2025 don't miss the Google Cloud AI Research's work on real-world agents, focusing on co-scientist collaboration, data science automation, and memory for personalized interactions, presented today at 10 AM by Tomas Pfister & Jinsung Yoon. https://
research.google/blog/accelerat
ing-scientific-breakthroughs-with-an-ai-co-scientist/
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Google Diamond Sponsor ICLR 2025 Conference Singapore
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Google is proud to be a Diamond Sponsor of the 13th @iclr_conf
, which kicks off today in Singapore. Stop by the Google booth to chat with researchers actively pursuing the latest innovations in deep learning! Read about our involvement at #ICLR2025 → https://
goo.gle/3EjZev3 -
Mobility AI: Data-Driven Urban Transportation Management Platform
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Introducing Mobility AI, a program to provide transportation agencies w/ tools for data-driven policymaking, traffic management & continuous monitoring of urban transportation systems, leveraging AI advancements in measurement, simulation, & optimization →
https://
goo.gle/3EEoUTd -
Meeting Andrew Ng, excited about new smolagents course
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And that's when I met the one and only @AndrewYNg, whose melodious voice first introduced me to the green pastures of machine learning, as I began my journey 5 years back: it means a lot! ✨
— m_ric (@AymericRoucher) 23 avril 2025
I'm thrilled about this new course! You'll learn to use smolagents and build agents that… https://t.co/R8C2I8LsBAAnd that's when I met the one and only @AndrewYNg
, whose melodious voice first introduced me to the green pastures of machine learning, as I began my journey 5 years back: it means a lot! I'm thrilled about this new course! You'll learn to use smolagents and build agents that -
Genie Conversation API: Voice-Powered Data Intelligence
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What if you could speak to your data? The Genie Conversation API suite + Google Cloud’s speech-to-text service makes this possible. Our powerful APIs unlock a world of possibilities where voice recognition, data intelligence and NLP converge to transform how we interact with
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AISTATS 2025 Proceedings Volume 258 Now Available on PMLR
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Volume 258 https://
proceedings.mlr.press/v258/ Proceedings of AISTATS 2025 Is now available on PMLR.