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Webinar - Building LLM-Powered Customer Experiences in 120 Days 👇 [Accelerating AI in Publishing] Sign up here: https://lnkd.in/gs9RCzXy Facing AI implementation roadblocks? Join YPulse President Dan Coates in our upcoming webinar as he shares how his team used deepset Cloud to develop a groundbreaking Generative AI product in just 120 days. In this session, you'll learn: -> The secret sauce: Discover the strategy they used to overcome common AI adoption challenges and launch quickly. -> Focusing on what matters: Identify high-impact use cases that deliver real business value. -> Building to last: Learn how deepset Cloud enabled YPulse to establish a scalable technical foundation for AI implementation. Don't miss your chance to replicate YPulse's success! Gain the insights you need to make AI a reality for your business. #AI #GenerativeAI #Webinar #Business #Innovation #YPulse

🌟 What an incredible roundtable event! 🌟 Grab a Byte Berlin was an amazing experience together yesterday. A huge thank you to guest speaker, Sebastian Horn, for sharing your journey and insights about building Generative AI into the consumer and journalist experiences at ZEIT ONLINE with speed and trust – and to our amazing group of attendees representing AI change makers across the media and publishing industry. Your questions, insights and vibrant discussions were truly inspiring! We’ll be continuing the Grab a Byte roundtable series in the near future to cover: ✅ Best practices to ensure user trust and AI accuracy ✅ Innovative ways to incorporate customer feedback into AI products ✅ Approaches to optimize the diversity of user interactions ✅ Getting AI into production to drive value, learning and optimization. Stay tuned for next dates and locations! Thank you for sharing your morning and valuable contributions with us Ludwig Siegele, Anne Küpper, Carlo Speth, Julian Oliver Chudoba, Torben Brodt, Katharina Neubert, Dr. Sebastian Wernicke, and Christian Palm! See you again soon! #AI #Media #Publishing #Innovation #UserTrust #AIAccuracy #ProductionAI #Berlin

💪 We’re proud to have top AI talent working with our customers. Miriam and her team of solution engineers at deepset collaborate closely with clients to bring their AI products into production. Whether building the first prototype or developing critical applications, the team works hand in hand with customers to ensure successful delivery of your AI projects. Here’s Miriam at our recent company retreat, sharing her journey at deepset. Interested in working with us? Head over to our openings for a chance to work with our team. https://lnkd.in/d-DYZ4p2

🏗️ There's been a lot of talk lately about Compound AI - a design principle for building AI products that emphasizes systems thinking over individual models to maximize AI results. 💅 𝐓𝐮𝐫𝐧𝐬 𝐨𝐮𝐭, 𝐝𝐞𝐞𝐩𝐬𝐞𝐭 𝐚𝐧𝐝 𝐨𝐮𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬 𝐡𝐚𝐯𝐞 𝐛𝐞𝐞𝐧 𝐩𝐢𝐨𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐨𝐮𝐧𝐝 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐲𝐞𝐚𝐫𝐬. ✨ Our latest blog post explains the advantages of Compound AI and its role in creating lasting, scalable products and processes. ✨ https://lnkd.in/dqG2j74H

As part of our Go-To-Market team 📈 , our hands-on sales engineers help customers navigate their technological challenges. Enterprises face diverse AI development issues, from reducing costs to improving data quality and tackling hallucinations. Jasper and his team guide you throughout your purchase journey, building a strong proof of concept and demonstrating how deepset Cloud will successfully support your AI adoption. Interested in working for deepset? Find your role here. https://lnkd.in/d-DYZ4p2

We’re excited to welcome Mathis Lucka, Vice President of Product at deepset to the stage at Ai4 2024 on August 12-14 at the MGM Grand in Las Vegas! Join the discussion around “From Prototype to Adoption: Building AI Products That Stick.” Register now: https://lnkd.in/e6dTnzj9

deepset's Go-To-Market team is committed to helping companies achieve the best outcome from AI projects. From the first point of contact, we continuously support clients in their AI application development journey. Hear from our Director of EMEA Sales, Blake, as he shares his experience working at the forefront of technological advancement with our customers. Excited about working in our GTM team? Head over to our career section to apply for your dream role. https://lnkd.in/d-DYZ4p2

Webinar Alert 📢 📅 Sign up here, Details below : https://hubs.li/Q02F07KB0 👈 Tired of AI projects that fizzle out after the initial pitch? We’re excited to have YPulse President, Dan Coates share how YPulse launched a powerful AI offering in just 120 days to empower their subscribers. You’ll learn how to overcome common pitfalls and develop AI solutions that users love and that drive real results. In this webinar, you'll discover: The hidden challenges holding back AI adoption (and how to conquer them) Identifying the goldmines: How to pinpoint use cases with the biggest impact on your business From vision to value: Mapping your use cases directly to measurable results The user feedback loop: Building iteratively with continuous user input for ongoing improvement Building a strong foundation: Crafting a robust technical infrastructure for scalable AI A real-world success story: See how YPulse launched a powerful AI offering in just 120 days to empower their subscribers Sign up today - https://hubs.li/Q02F07KB0

🏆 Honored to be included in this year's Sifted B2B SaaS Rising 100, sponsored by Sapphire Ventures ✨ This report spotlights the most promising startups scaling fast in the B2B SaaS landscape and we're thrilled to be recognized on our journey to help all enterprises effectively adopt AI 💪 Check out the full report here: https://lnkd.in/gQVe-vsF

🚀 Benchmarking RAG Pipelines for Optimal Performance! The latest article by David S. Batista, PhD, breaks down step-by-step instructions to evaluate and optimize your RAG pipeline's performance using Haystack, complete with detailed benchmarking against the ARAGOG dataset. 🌟 Key Highlights: - Explore three different Haystack pipelines: indexing, RAG, and evaluation. - Gain insights from the “ARAGOG: Advanced RAG Output Grading” dataset. - Learn how to fine-tune parameters like top_k, embedding_model, and chunk_size. - Discover the best-performing combinations for context relevance, faithfulness, and semantic answer similarity - Detailed analysis and lessons learned to help you achieve the best performance for your use case Read the full article 👉 https://lnkd.in/d-2NmawF #rag #opensource #evaluation #haystack