MLOps Community

Curious about the future of data searchability? Ethan Rosenthal breaks down the complexities and benefits of working with unstructured multimodal data. Dive in to see how vector search is revolutionizing the field!

Get the inside scoop from Boris Selitser! From his obsession with a perfect cortado to tackling AI prompt injections, Boris shares some key tips to keep your apps running smoothly.

Communicating in dollars makes the results palpable and justifies business decisions, like hiring more staff or expanding resources. If you told your CEO you could increase revenue by $1M with a few strategic changes, wouldn't they listen? Miguel Fierro's approach to data-driven decisions is a game-changer.

Key to Michelangelo's success is its balance of flexibility and customizability. By providing templates, the platform makes it simple for users to get started without compromising the ability to dive deeper as needed. This approach not only enhances user experience but also accelerates development cycles.

Did you know? Amazon Web Services (AWS) Inferentia and Trainium both have neuron cores, similar to GPUs, but they're optimized differently for tasks and power efficiency. This specialization allows more tailored solutions for diverse AI workloads.

Benjamin Wilms shares his skepticism of untested systems and emphasizes the importance of witnessing how they perform under various conditions. It's a powerful reminder that true system expertise and understanding come from hands-on experience and deep knowledge.

Explore knowledge graphs with Thomas Smoker: A tool for battling AI hallucinations by enhancing determinism and explainability in AI-generated responses.

What's the first thing you need when building out documentation for a new product? A smooth onboarding! David Nunez stresses the importance of a solid "getting started" guide. Without it, even the fanciest tutorials won't cut it.

MLOps Community is hosting Fresh Data, Smart Retrieval: Milvus & Jina CLIP Explained, brought to us by Zilliz! 🗓 Date: June 12, 2024, Wednesday 🕔 Time: 5 pm UK time Join us for an exciting Mini Summit packed with cutting-edge insights and practical solutions in the world of data retrieval and vector databases. Dive deep into two captivating sessions designed to elevate your understanding and application of MLOps tools and techniques. Session Highlights: 🔹 Keeping Data Fresh: Mastering Updates in Vector Databases Challenge: Built a RAG (Retrieval Augmented Generation) system but struggling with data updates? Solution: Discover how Milvus manages updates in vector databases, ensuring your data remains fresh, accurate, and efficient. Takeaway: Learn practical solutions for maintaining high throughput and low latency in your data systems. 🔹 Jina CLIP: Your CLIP Model Is Also Your Text Retriever Problem: CLIP model underperforming in text-only tasks? Innovation: Explore our multi-task contrastive training method that bridges the performance gap. Benefit: Connect long documents, queries, and images in one cohesive space with the Jina CLIP model. Don’t miss out on this opportunity to enhance your MLOps skills and network with fellow enthusiasts and experts. Be prepared to transform your approach to data retrieval and multimodal systems! 🔗 Save the date and mark your calendar! For more information and to register, visit our event page https://lnkd.in/eKWT8w92. We look forward to seeing you there!

Join us on Wednesday, June 12th, at 17:00 UK time for "Fresh Data, Smart Retrieval: Milvus & Jina CLIP Explained." Hosted by Ben Epstein, Founding Software Engineer at Galileo, this event features awesome talks from: Stephen Batifol, Developer Advocate at Zilliz Andreas Koukounas, ML Engineer Intern at Jina AI Saba Sturua, Machine Learning Engineer at Jina AI Dive into the latest tips and tricks for mastering updates in vector databases. Don't miss out on this chance to level up your MLOps game with insights from top pros! Mark your calendars, and join us for this exciting event brought to you by Zilliz. See you there!