📢 Get yourself the early version of the new O’Reilly e-book introducing the amazing world of training data NOW! 😍 You’re just a few clicks away from the start of your AI project! ⏱️ 👉 hubs.li/Q01Vg8cl0 #ai #ml #data #labeling #ebook

📢 Get yourself the early version of the new O’Reilly e-book introducing the amazing world of training data NOW! 😍 You’re just a few clicks away from the start of your AI project! ⏱️ 👉 hubs.li/Q01Vg8cl0

⏳ Last chance to join tomorrow's 5 p.m. CET webinar with Edouard and Michael discussing LLMs, performance evaluation, dataset fine-tuning, and more! 🥰 🔥 Register now -> linkedin.com/events/usingll…

🙌 Tomorrow is the big day! The ICCV 2023 Paris starts in 24h and we can’t wait to see you there. Have a chat with our sales and find everything you need for your next data labeling project! 🔥 #event #salon

😬 Tracking objects in videos is often time-consuming. 🔥 The new timeline view simplifies error-spotting and quick corrections, allowing users to easily adjust object segments, remove portions where the target is no longer visible and more! 🙌 👉 hubs.li/Q021KWBJ0 #ml #ai

🚀 Day 1 was amazing. Day 2 will be even better! See you at the ICCV Paris, at Booth n°12 with Guillaume and Paul! 😉✨

🚀 Attended Day 1 of the fantastic World Summit AI 2023 in Amsterdam. 🔥 Excited for Day 2! Don’t forget to pass by Booth S3! 😉

💬 Navigating through the complexities of Large Language Models (LLMs) is crucial for reliable AI. 🔥 In this article we: ✨ Uncover the mystery behind LLM hallucinations ✨ Discover actionable mitigation strategies 😉 Everything is here: 👉 hubs.li/Q026n9kW0

Did you know that a 10% drop in label accuracy can lead to a staggering 2-5% decrease in your model's accuracy? 💰🤯 Investing in data quality is about being cost-effective and ensuring the success of your AI/ML projects.🚀💚 Read more 👇 hubs.li/Q027dmwm0

How can we critique and evaluate large language models effectively? 🤔 Meta provides one solution: use another language #model with a high-quality human annotated dataset. 💡 Interestingly, human annotators used Kili Technology 's data labeling platform! 🥰 #llm #ai

Hey X! We've had our webinar last week and it was amazing 🔥 In reinforcement learning, a key aspect to success is having enough data to improve your model. In some cases, you may not have the right quantity, hence, a dynamic labeling workflow is needed. 👇🎬

Webinar Replay 2: Quality People vs Quality Workflow Building a robust RLHF dataset requires both skilled people and efficient workflows, combined with the right tools and feedback mechanisms to ensure continuous quality improvements. Check what Paul Graffan says: 👇🎬

Kili Technology is proud to be part of the elite group of NVIDIA Inception Program 🥳🔥 This group has been for startups driving change across industries around the world. We’re so proud to see how well Kili Technology has been doing recently. And that's only the beginning!

🤔 ‘’Is supervised fine-tuning better for domain knowledge like chemistry?’’ Our answer: ✨ Use continued pre-training to embed new factual information ✨ Apply fine-tuning (SFT or RLHF) to optimize how the model applies this knowledge and improve task-specific performance #AI