Rob Unglenieks’ Post

pub.towardsai.net: The Infini-Attention paper is discussed in detail in the article on Towards AI. The paper's concepts and insights are explored, providing valuable information for readers interested in this topic.

🚨 The Great Swedish Text Heist – Expect the Unexpected 🚨 Hey, fellow technophiles and language enthusiasts, I just dropped a post that may take you on a different kind of journey than you're used to in the world of AI. Part folklore, part coding adventure, and all about harnessing the power of the latest AI technologies like SynapseAI 1.18 and the newest vllm-fork—and trust me, all the code works seamlessly! ⚡ What’s inside? A playful tone mixed with Norse mythology (yes, really!) Full confidence in SynapseAI 1.18's capabilities when paired with latest vllm-fork A promise that you can process vast amounts of knowledge with precision and speed An adventure through building a modular AI system, piece by piece, much like crafting Mjölnir This isn’t just a fun read—it’s a showcase of what’s possible with cutting-edge tech today. If you’re curious about how AI can be both powerful and accessible, this is for you. Ready to join the journey? 🌍🔗 Head over to my Substack for the full story: https://lnkd.in/dza26hSB #AI #NLP #SynapseAI #vllmfork #AIDevelopment #CodingJourney #NorseFolklore #TechAdventure #IamIntel

Great resource for practicing and staying on top of the econ/causal ML literature!

📢 Join us for an enlightening lecture on model evaluation titled Unveiling the Truth: The Limits of Accuracy in Model Evaluation"! 🎓📊 This is Chapter 3 from the well-known textbook "Hands-on Machine Learning with Scikit-Learn and TensorFlow". 🔍 What We'll Cover: - Accuracy Explained: What does accuracy really tell us about a model, and what does it overlook? - The Perils of Imbalance: How skewed datasets can lead to deceptive accuracy measures and the scenarios where this is most problematic. - Cross-validation Techniques: Learn why and how cross-validation provides a more robust evaluation of model performance. - The Role of Dummy Classifiers: Understanding baseline metrics through dummy classifiers to highlight the importance of comparative analysis. - Beyond Accuracy: Introducing alternative metrics that provide deeper insights into model performance. https://lnkd.in/ddwTFxWM 🎯 Key Takeaways: - Discover the true meaning and limitations of accuracy in model evaluation. - Learn how to handle imbalanced data effectively. - Master cross-validation techniques for better performance assessment. - Understand the significance of dummy classifiers. - Explore alternative metrics for a comprehensive evaluation. This lecture is perfect for students, professionals, and academics interested in AI and machine learning. Enhance your understanding of model metrics and seek more effective ways to evaluate machine learning models. Don't miss out! 🚀 #MachineLearning #AI #ModelEvaluation #DataScience #MLMetrics #CrossValidation #AIResearch #HandsOnML #ScikitLearn #TensorFlow #ProfElhosseiniSmartSysEng

Inspired by human awareness this paper explores how LLMs can detect hallucinations before generating a response, achieving an accuracy rate of 84%.

With wisdom state acquisition and access to the proper semantic structure - we become able (gain the capacity) to communicate effectively.

From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens ... https://lnkd.in/edegtbi6 #AI #ML #Automation

I really like this article - worth a read. Covers different angles of #artificialintelligence

For all my Strategy friends out there- I found this presentation by Zoe Scaman to be the most helpful and inspiring guide yet on how we can use AI to make our work and ourselves smarter, prettier, and more impactful. Do not miss it- and please let me know if there are any tools you're using that I might not know about yet, or that she doesn't reference herein. https://lnkd.in/gchk3XGn

Read “From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens“ by Vladyslav Fliahin on Medium: https://lnkd.in/gSKpkzU2