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Donald Trump is a 🐷🐽🐖🐗!😅 #DonaldTrump #DonaldTrumpsShutdown #donaldtrumpisapig #Donald #Trump #TrumpisaNationalDisgrace #TrumpsGovernmentShutdown #JDVance
Every researcher's nightmare: "Your sample size is too small to detect that effect." This open-access paper in Frontiers in Medicine solves that problem BEFORE you collect data. "How to calculate sample size in animal and human studies" by Zhang & Hartmann breaks down: ✓ What…
My coworker got promoted over me. He was worse at coding. Better at politics. I wrote better code. Fixed more bugs. Shipped faster. He talked in meetings. Took credit. Played the game. He got the promotion. I got "keep up the good work". That's when I realized: corporate…
Somebody wrote a prompt that's supposed to reduce ChatGPT hallucinations. A Reality Filter Has a Google Gemini and Claude version too. it’s a directive scaffold that makes them more likely to admit when they don’t know. "Reduce hallucinations mechanically—through repeated…
Take this Google Skills course for an introduction to a RAG workflow—creating embeddings, searching a vector space, and generating improved answers → goo.gle/3Xj8Ls0 By the end of the 2-hour course, you will be able to build a RAG pipeline using BigQuery and Gemini!
This is fantastic article explaining why you should be paying attention to the emergence of hybrid models and why they are likely to replace self-attention-based models (hint: much faster and lower memory foot print inference). pytorch.org/blog/hybrid-mo… This is from vllm folks.
Google literally just killed 100s of startups Their new “File Search Tool” (incredibly dumb and misleading name btw) is a hosted RAG solution that allows you to upload files like DOCX and PDF, and chat with them This could be used for things like customer chat bots, where you…
Introducing the File Search Tool in the Gemini API, our hosted RAG solution with free storage and free query time embeddings 💾 We are super excited about this new approach and think it will dramatically simplify the path to context aware AI systems, more details in 🧵
Physics and Philosophy: The Revolution in Modern Science. by Werner Heisenberg
We need more papers like this one which examines how AI agents & humans work together Current agents were fast, but not strong enough to do tasks on their own & approached problems from too much of a programing mindset. But combining human & AI resulted in gains in performance
My "The Building Blocks of Today’s and Tomorrow’s Language Models" talk at the PyTorch Conference is now up on YouTube! youtube.com/watch?v=nDl6Aj… If you have 25 min this weekend, it's a whirlwind tour to catch you up on the key LLM architecture design considerations in popular…
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The Building Blocks of Today’s and Tomorrow’s Language Models -...
This is one of the most exciting agentic AI results I have seen! An AI agent (through several rounds of reasoning and experimentation) discovers distributed systems algorithms (e.g., GPU load balancing) that perform on par with those designed by world-renowned human experts in…
We built a Systems Researcher AI agent! Glia discovers novel distributed systems algorithms matching PhD-level experts in creativity & performance. We ran it on various networked systems problems and obtained publication-worthy results on each! Let me tell you how we did it 🧵
"Brownian Motion, Martingales, and Stochastic Calculus" Nice concise textbook (beginning graduate or advanced undergraduate) for learning Gaussian processes, Martingales and stochastic differential equations
If you're building AI apps, you might be struggling with how to structure the logic and connect prompts, memory, tools, and APIs. Well, this is where open-source tools like LangChain and LangGraph can help you out. In this guide, Manish explains what each tool does and when…
When you train a model on one dataset, it usually performs poorly on data from a different source - even if the task is the same. This paper shows how to train models that automatically learn features that work across different datasets by forcing the network to be unable to…
freeCodeCamp's interactive Python curriculum is now 100% live. 🐍 We're also nearing completion of the Full Stack Development curriculum. We'll keep shipping modules as we finish them. Including the new exams and certifications.
🧮 Google just published DS-STAR A data science agent that can automate a range of tasks — from statistical analysis to visualization and data wrangling. Reads messy files, plans steps, writes and runs code, and verifies itself, reaching state of the art on tough multi file…
Harvard professor literally dropped the best ML systems tutorial you’ll ever see
Looking for hands-on content on 𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗳𝗶𝗻𝗲 𝘁𝘂𝗻𝗶𝗻𝗴? I got you covered 🎬 ↓↓↓
No fraking way. These people have truly redefined efficiency. This is a new record and even surpasses the efficiency of DeepSeek’s R1 training. Holy moly.
If Kimi K2 Thinking was truly trained with only $4.6 million, the close AI labs are cooked.
10 days in China and haven’t seen a single pothole or broken road
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