SDF Labs’ Post

📢 Ready to build a RAG application but unsure how to prepare your data? Join Thierry Damiba on our August 29 Webinar to learn chunking methods, how to use FastEmbed, indexing and loading data into Qdrant, and more. 🔗 RSVP now: https://lnkd.in/eSuV4_7j

You can make workflows and their data FAIR with Sim2Ls.

After a year of fascinating research into AI, I'm excited to share some insightful findings. I am pleased to share an article detailing my research into Large Language Models (LLMs) over the past year. This piece presents my primary research and development efforts, focusing on the application of LLMs to enhance human efficiency and automate significant portions of the labelling pipeline. The work explores how we can maintain high labelling quality while improving overall productivity, potentially offering valuable insights for the field of AI-assisted data labelling. I invite you to read the article for a deeper understanding of this intriguing area of study. https://lnkd.in/gJ7XcSBq I'd love to hear your thoughts on this research. Feel free to comment or reach out to discuss further! #LargeLanguageModels #AIResearch #MachineLearning #DataScience #AI #NLP

Advancing Credit Scoring with Multilayer Perceptron and Self-Organizing Map This study enhances credit scoring accuracy using Multilayer Perceptron with Self-Organizing Map, challenging the widespread math aversion and highlighting math’s vital role in data science and finance. Read more in @SustainE: https://lnkd.in/eYHMQTd6

Join us for the Preconference Tutorial Session at ADICS - 2024! 🚀 Explore cutting-edge topics in data engineering and intelligent computing

Book your spot today

We've heard from users how important it is for them to be able to accurately enrich their company data with NAICS codes—so we're excited to ship a major improvement to our NAICS model. 🔧 – 🔢 4-digit NAICS codes – 🎯 More than 95% accuracy – 💯 Multi-label outputs with confidence scores See the demo below, classifying the company descriptions of our friends at Sweetspot (YC S23) and Moonglow (YC S24)! 😍 You can use this model TODAY to enrich your company data. Talk to us!

🔍 Curious About How TDengine Achieves Amazing Data Compression? In our latest video, we reveal the secrets behind TDengine's impressive compression ratio. Learn how our innovative algorithms can significantly reduce your data storage needs while keeping performance high. 📹 Don’t miss out! Click to uncover the magic behind TDengine’s compression techniques.

How much does query execution cost really matter? In the world of big data, choosing the right execution plan can make all the difference in performance. 💡 Join our expert Vadim Opolski at the Data Science Conference, as he dives into AI-based cost estimation, using TPC-DS and TPC-H benchmarks to explore performance impacts. Discover how open-source tools might gather data to train comparable models. Don’t miss this tech talk and discussion to stay ahead in the data-driven world!

In the second edition of our engineering blog series, DV Labs data scientist Viktor Redecker explains the work that went into creating our groundbreaking Obol Contributions program (obol.org/contributions)! Read below! 👇