In San Francisco and looking for an awesome #GenAI event to join tonight? 🌉 Then don't miss the Amazon Web Services GenAI Model Training & Inference Innovators Night taking place tonight! 🚀 We’re thrilled to announce that our CEO, Dev Rishi, is joining a powerhouse lineup

🚀 15 hours ‘til #DeployCon touches down at the AWS Loft in SF! 🚀 Only a few #FREE seats remain and thay're vanishing fast—grab yours now or tune in live from anywhere on the planet with our live stream. ✨ Why you must attend ✨ • Hear the unfiltered, battle-tested

🧠 Join the 10k developers supercharging their #LLM skills with Reinforcement Fine-tuning—and it's free! 🧠 Reinforcement Fine-Tuning (#RFT) and #GRPO are fast becoming popular techniques to teach LLMs how to reason. We teamed up with DeepLearning.AI to build the definitive

🚨 Engineers: before you spin up that #DIY GenAI stack, read this. 🚨 Gartner says nearly 30 % of #GenAI projects will die in POC limbo by the end of 2025—sabotaged by infrastructure pitfalls that only show up in production. We just published “The 5 Hidden Hurdles of

Stuck in GenAI prototype limbo? Get the playbook in <1 hr. 🗓️ LIVE fireside chat | July 15, 10 AM PT / 1 PM ET Featuring Anneka Gupta (CPO, Rubrik) + Dev Rishi (Co-founder & CEO, Predibase) What you’ll walk away with: 🔸 Ship, don’t stall: Why 80% of enterprise

Open-source models like #DeepSeek, #Qwen3, and #Llama4 have nearly closed the gap with their closed-source counterparts. They also provide a major advantage: full #control and model #ownership. But here’s the truth: Building GenAI #infra from scratch is incredibly complex.

Last Chance to Save Your Spot! Join us tomorrow for a fireside chat with Rubrik CPO Anneka Gupta and Predibase CEO Devvret Rishi on what it takes to build fast, scalable, and cost-effective #production AI. We'll cover: ✅ Why most AI projects fail after POC ✅ Boosting

Vision language models (#VLMs) can describe, detect, and even diagnose, but real-world nuance still trips them up. Join us in 2 weeks to discover how fine-tuning can turn a small #opensource VLM into a domain-expert powerhouse that runs blazingly fast. What you'll learn: • Top

Reinforcement fine-tuning (#RFT) is a powerful tool to have in your toolbox when #accuracy is paramount or you need to customize an #opensource LLM for your use case or domain (especially when #labeled data is scarce!) But working with RFT in the real-world comes with lots of

Vision Language Models are great... until they're not. #VLMs power 1000s of AI use cases from #classification to visual Q&A to character #recognition for practical applications like aiding patient diagnoses, keeping retail shelves stock, and generating metadata for movies. But

When will we #train once and learn forever? And what does that even mean!? 🤯 The #AI space is changing fast: new tools for faster #inference, new training framework for better results, evolving #model architectures, dozens of "agent" companies popping up overnight. What's