Annapurna Labs

AI researchers, if you are heading to NeurIPS this week you won’t want to miss the hands-on workshop about playing chess on AWS Trainium! Emily Webber will be hosting live tournament for you to explore trade-offs in reasoning, fine-tuning, and realtime gameplay. We’ll also discuss some of the latest AI research from Amazon. Join us at 12 pm on Tuesday December 2, Upper Level Ballroom 20AB. https://lnkd.in/gEmhq5jV https://lnkd.in/gBMTVxax #AWSTrainium

re:Invent is coming this week! I will be running two AWS Trainium workshops: - [AIM309] Building LLMs with AWS Trainium - [AIM318] Fine-tune Hugging Face LLMs on AWS Trainium with Optimum Neuron Please join one of the workshops to learn how to work with AWS Trainium2-powered instance for LLM fine-tuning and deployment. https://lnkd.in/gd_MMs2m https://lnkd.in/g6YzycmQ We are also showcasing some very exciting demos. Visit the AWS Trainium Booth at the AWS Village in the Expo Hall. https://lnkd.in/gBdvP8Hg 日本語でも対応しますのでお声がけ下さい。 #aws #reInvent

Chess, anyone? This year at NeurIPS I am thrilled to announce a hands-on workshop about playing chess on AWS Trainium! I'll be onsite in the 2000-person ballroom on Tuesday Dec 2, with an amazing team. Chess is a great learning environment for many aspects in machine learning. The game itself is well handled by CPU-based gaming engines, but the ability of LLMs to understand these discrete rules and common strategies is vastly under-explored. In addition, there's a natural pair with both reasoning and chat. Imagine training your own small language model to not just play chess, but also explain it's moves to you and have a dialogue with you about this. This gives you the ideal environment to grow your skills, both as a data scientist and as a chess enthusiast. Not to mention have a blast 🎸 We're bringing all of this to you and more at NeurIPS, and I couldn't be happier to team up with Rocky Yu at AGI House, Sharada Prasanna Mohanty at AI Crowd, Henry Yin, and the stellar builders at AWS with Jim Burtoft Niithiyn Vijeaswaran Megan McKenzie Josh Longenecker Ruchi Bhatia Armin A. and so many more. Space is limited - but if you're already attending NeurIPS you can jump into registration now while it's still open. https://lnkd.in/exVc8Qim Attending re:Invent and want to try it out? Don't worry, we'll have some options for you in December. Stay tuned ♟️.

𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗲 𝗤𝘄𝗲𝗻3 𝗼𝗻 𝗔𝗪𝗦 𝗧𝗿𝗮𝗶𝗻𝗶𝘂𝗺 — 𝗧𝗵𝗶𝘀 𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 𝗮𝘁 𝗖𝗮𝗹𝗛𝗮𝗰𝗸𝘀! 🚀 Stop reading about AI. Start building it. Join Sadaf Rasool for a hands-on workshop where you'll learn to fine-tune a LLM for Text-to-SQL generation using AWS Trainium and Hugging Face's Optimum Neuron Library. 𝗬𝗼𝘂'𝗹𝗹 𝗹𝗲𝗮𝗿𝗻: ✅Complete fine-tuning from setup to execution ✅How to use AWS Trainium efficiently ✅Practical skills for accelerating your own LLM workloads 𝗦𝗵𝗼𝘄 𝘂𝗽 𝗵𝗲𝗿𝗲: 📅 Saturday, October 25 | ⏰ 10:00 AM 📍 Palace of Fine Arts, San Francisco 👉 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗻𝗼𝘄: https://lnkd.in/gnZCEA8u Spots fill fast. See you there. #AWS #Trainium #MachineLearning #AI #CalHacks #LLM #FineTuning #GenerativeAI #HuggingFace #BuildInPublic

Another week, another hackathon win. This week, we won 3rd place at Amazon Small Language Model Hackathon at AGI House with Babel Reader, an open source replacement for ElevenReader. How did we win three hackathons in a row? Here’s our playbook: 1. Signal progress by building an actually good product. The spirit of hackathon is speed, and good product built on site is always a winning combination. 2. Make it fun. Most pitches are very boring. Any theatrics or landed jokes significantly increase the chance to stand out. 3. Leave impression with judges in advance. Most judges do not know any team, simply getting connected before is already powerful, establishing good rapport is even better. 4. Don’t go first. People are still settling in. It is hard to be the ice breaker. We trained a Qwen 3 1.7B LoRA for translation, thank to the generous help from AWS Trainium team Jim Burtoft Emily Webber. This time we had a team of 5: Owen Liu: It's fun to win 3 in a roll with you, brother. Let's win more battles in life together. Aadil Sengupta: What a delight to finally joined force after competing against each other. Great to see you train your first LLM. One small step for men, one giant leap for Hindi-English on device translation. Nitish Chowdary: Thank you for remotely making everything so beautifully designed. Ansh Shah: Other than naming the project and crafting pitches, you attemped the download modules with such intensity. Great to have you on the team. Last but not the least, thank you Rocky Yu, Henry Yin, and Alexa Orent for hosting the event, and Igor Rocha for judging and the sick DJ work. It was such a blast.

The future of AI isn’t just bigger. It’s leaner, faster, and more efficient. On Oct 4, AGI House and AWS are hosting the Small Language Model Build Day — a one-day sprint to prove that smarter design > bigger models. ⚡ Hands-on with AWS Trainium + Hugging Face integrations ⚡ Build production-ready SLM prototypes in just 12 hours ⚡ Explore real-world applications: text-to-SQL, lightweight copilots, reasoning benchmarks Prizes up for grabs: 🥇 1st Place – $3,000 AWS credits, $500 AMZN gift card, and a bonus lunch at the AWS office with the team 🥈 2nd Place – $2,000 AWS credits, $250 AMZN gift card, plus an Alexa 🥉 3rd Place – $1,000 AWS credits + $100 AMZN gift card Speakers + judges include: Ron Diamant (Chief Architect of Trainium @ Amazon Web Services (AWS)) Emily Webber (Principal ML Specialist Solutions Architect @ AWS) Jim Burtoft (Senior Startup Solutions Architect @ AWS) Antoine N. (Head of AI @ Forethought) Linzhi Qi (Co-founder & CTO @ Stealth AI Holding Co) Orian Leitersdorf (Chief Scientist @ Decart AI) Igor Rocha (Co-founder & CPO @ Cigna) 📍 AGI House | 🗓 Oct 4 ⏳ Last chance to apply: Apply Here → https://lnkd.in/gKg7kkMX Rocky Yu Alexa Orent Melissa Daniel Naomi (Yue) Xia Preethika Pavirala Steven Feng