Kili Technology
@Kili_Technology
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Labeling Platform for High-Quality Training Data One tool to label, find and fix issues, simplify DataOps, and dramatically accelerate the build of reliable #AI
New York, US
Joined September 2020
🤔 ‘’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
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@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!
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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:. 👇🎬
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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. 👇🎬
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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
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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 👇.
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What are the cost factors for image annotation in AI projects? 📚💡.🤔 Understand how cost varies with task complexity and gain critical insights to inform your budgeting process. 🔥. Head to the comments now!🤫. #budget #annotation #project
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💬 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: 👉
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📖 Delve into the first part of our webinar recap on building conversational engines with Large Language Models (LLMs). 🔥 Explore real-world applications of LLMs, learn evaluation techniques of LLMs, and watch a practical demo of evaluating LLMs on @Kili_Technology platform.
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🚀 Attended Day 1 of the fantastic World Summit AI 2023 in Amsterdam. 🔥 Excited for Day 2! Don’t forget to pass by Booth S3! 😉
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🚀We’re happy to announce a revamped Smart Tracking! You can now annotate the target in the first frame it appears in, and then let our AI-powered tool do the magic either when you want to start annotating a new target or need to adjust portions.🔥.#data.
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⏱️Doing object detection on video can take forever - especially if you have to label each individual frame.😖Even more when you need to track targets that move a lot, like a flying bird: it’s not only about trajectory, it’s also about detecting when the wings are spread or not.😬
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🚀 Day 1 was amazing. Day 2 will be even better! See you at the ICCV Paris, at Booth n°12 with Guillaume and Paul! 😉✨
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⏳ 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 ->
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📢 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! ⏱️. 👉
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