The most powerful 7B language model yet—and it's a diffusion reasoning model.
MACHINE LEARNING
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Building AI Apps for Real-World Production Use Cases
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Building AI Apps for Real-World Use Cases: From Basics to Production https://
buff.ly/lIO2Wwy
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
ECLeKTic Benchmark Evaluates Cross-Lingual Knowledge in LLMs
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Introducing ECLeKTic, a new benchmark for Evaluating Cross-Lingual Knowledge Transfer in LLMs. It uses a closed-book QA task, where models must rely on internal knowledge to answer questions based on information captured only in a single language. More →
https://
goo.gle/3Y5TqvZ -
Two Flavors of AI for Scientific Innovation in Next Five Years
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I am super excited for AI for scientific innovation, a direction that will certainly grow in the next five years. I think there will be two flavors of it. The first is “deepmind style”, where there is a very specific, important problem to solve (e.g., protein-folding), and you
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YOLO11 Real-Time Object Detection on Raspberry Pi
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📢 YOLO11 on Raspberry Pi
— Satya Mallick (@LearnOpenCV) 2 avril 2025
STOP relying on slow, expensive cloud AI! 🤯
Unlock Real-Time Vision on a Raspberry Pi with YOLO11! 🚀
Want to bring lightning-fast object detection to your projects without breaking the bank or needing a supercomputer? This blog post is your ultimate… pic.twitter.com/CjVDOerfPTYOLO11 on Raspberry Pi
STOP relying on slow, expensive cloud AI! Unlock Real-Time Vision on a Raspberry Pi with YOLO11! Want to bring lightning-fast object detection to your projects without breaking the bank or needing a supercomputer? This blog post is your ultimate -
How Large Language Models Actually Work: A Simple Explanation
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𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘂𝘀𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧! 𝗕𝘂𝘁 𝗵𝗮𝘃𝗲 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝗮𝘀𝗸𝗲𝗱 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 — 𝗵𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 "𝗪𝗢𝗥𝗞"? Here’s a simple overview of what happens under the hood of an LLM — no PhD needed. Let's break it down in a SIMPLE way:
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Claude 3.5 Sonnet Achieves 21% on PaperBench Research Task
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We evaluate several frontier models on PaperBench, finding that the best-performing tested agent, Claude 3.5 Sonnet (New) with open-source scaffolding, achieves an average replication score of 21.0%. Finally, we recruit top ML PhDs to attempt a subset of PaperBench, finding that
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OpenAI Open-Sources PaperBench AI Evaluation Framework
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We’re open-sourcing PaperBench: https://
github.com/openai/prepare
dness/tree/main/project/paperbench
… Read the full paper: https://
openai.com/index/paperben
ch/
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PaperBench: AI Agents Replicating State-of-the-Art Research
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We’re releasing PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research, as part of our Preparedness Framework. Agents must replicate top ICML 2024 papers, including understanding the paper, writing code, and executing experiments.
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Evaluating AI Paper Replication with Detailed LLM-Based Rubrics
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We evaluate replication attempts using detailed rubrics co-developed with the original authors of each paper. These rubrics systematically break down the 20 papers into 8,316 precisely defined requirements that are evaluated by an LLM judge.