MLOps Community

Protecting AI integrity is crucial! Sean Morgan highlights the importance of scanning for vulnerabilities in models using tools like GRAC and LLM guard -- essential for spotting hallucinations or impacts from poisoned data.

Protecting AI integrity is crucial! Sean Morgan highlights the importance of scanning for vulnerabilities in models using tools like GRAC and LLM guard -- essential for spotting hallucinations or impacts from poisoned data.

Protecting AI integrity is crucial! Sean Morgan highlights the importance of scanning for vulnerabilities in models using tools like GRAC and LLM guard -- essential for spotting hallucinations or impacts from poisoned data.

For more forensic analysis like this, subscribe to our weekly newsletter here https://lnkd.in/eaY4-myZ.

Protecting AI integrity is crucial! Sean Morgan highlights the importance of scanning for vulnerabilities in models using tools like GRAC and LLM guard -- essential for spotting hallucinations or impacts from poisoned data.

Is bigger always better? 🤔 In our last MLOps reading group, we tackled the burning question: Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? Here's Matt Squire and Nehil Jain trading off insights on computational costs and potential benefits. 💡 Is the future of AI all about massive context windows, or is there still room for efficient retrieval methods? Check out the full session recording here: https://lnkd.in/eTWtJjwY Our reading group is a melting pot of diverse professional opinions from all over the world. Join us at the next session. 📅 September 12th (Thursday) 🗒 Topic: "HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation" https://lnkd.in/gbJ8QhRy  📣 REGISTER HERE : https://lu.ma/vprqf5ii  Never miss a session! Subscribe to our calendar here : https://lnkd.in/erdPTQAC #AIResearch #MLOps #LLMs #RAG

Is bigger always better?  In our last MLOps reading group, we tackled the burning question: Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More (https://lnkd.in/dKk99-Mv)? Here's Matt Squire and Nehil Jain trading off insights on computational costs and potential benefits. Is the future of AI all about massive context windows, or is there still room for efficient retrieval methods?

Working on perception models? Check out this paper https://lnkd.in/etW5u7bZ for a practical approach to enhancing the robustness of ML models in autonomous systems. It details how to identify weak spots, apply customized image augmentations, and fine-tune models to boost key performance metrics. Get hidden gems like this in your inbox each week - subscribe to our weekly newsletter here https://lnkd.in/eaY4-myZ. #MachineLearning #AI #AutonomousVehicles #MLOpshelps

Speaker Spotlight! 🎙️ We’re excited to have Shailvi Wakhlu, a leading voice in Data Science & Analytics, joining us at the Data Engineering for AI/ML Virtual Conference on September 12th! Shailvi will share key strategies for mastering data quality. In her session, you’ll learn: - How to spot and ditch bad data to strengthen your decisions. - Pro tips for building trust in your data. - Practical tips for preventing and fixing data issues efficiently. If you’re looking to level up your data game, this is a session you won’t want to miss! Register here: https://lnkd.in/esYKH-rY