Yarlagadda Trinath’s Post

Attention all machine learning engineers! We've got an article you don't want to miss. Staying on top of the latest advancements in vision models is essential, and we've highlighted the hottest models making waves in the field right now. Our latest blog post by Lode Nachtergaele is packed with insights, tips, and tricks to keep you ahead of the curve. From groundbreaking Vision Language Models like PaliGemma to fine-tuning techniques that save you resources, this article covers it all. Discover which models are leading the charge and how you can leverage them in your projects. Read More 👉 https://lnkd.in/gjQw-fQZ #MachineLearning #VisionModels #AI #TechTrends #PaliGemma

"This comprehensive guide dives into a sophisticated neural-symbolic model designed for digit classification using the Digits dataset illuminating the mathematical foundations, dissecting the code with rich snippets and explanations, exploring practical use cases, highlighting the benefits of such integrations and interpreting the impressive results achieved by the model." https://lnkd.in/gVtJ7MUx #MachineLearning #AI #InterpretableAI #NeuralNetworks #HyperdimensionalComputing #HyperbolicNN #NeuralSymbolic #EnergyBasedModels #DigitClassification #DataScience #DeepLearning #ExplainableAI #AIResearch #ComputationalParadigms #ModelInterpretability #AIInnovation #NeuralComputing #SymbolicAI #HybridAI #FutureOfAI

Are paper P&IDs stopping you from going digital? We can extract instrument names from plain paper P&IDs to populate a tag database and start the digitalisation journey. #godigital

What’s stopping you from going digital? 👩💻 🚫 Information being stranded on paper is often one of the biggest barriers for older assets in going digital. This prompted our exploration of using machine learning and image recognition to identify P&ID's. Especially Instruments on P&IDs in particular as they are not straightforward due to their complex shape. Check out our full demo here: https://buff.ly/3YWFogL #AI #ImageRecognition

"This comprehensive guide dives into a sophisticated neural-symbolic model designed for digit classification using the Digits dataset illuminating the mathematical foundations, dissecting the code with rich snippets and explanations, exploring practical use cases, highlighting the benefits of such integrations and interpreting the impressive results achieved by the model." https://lnkd.in/gVtJ7MUx #MachineLearning #AI #InterpretableAI #NeuralNetworks #HyperdimensionalComputing #HyperbolicNN #NeuralSymbolic #EnergyBasedModels #DigitClassification #DataScience #DeepLearning #ExplainableAI #AIResearch #ComputationalParadigms #ModelInterpretability #AIInnovation #NeuralComputing #SymbolicAI #HybridAI #FutureOfAI

Ridge, Lasso, ElasticNet, and Polynomial models are key techniques for improving model performance and preventing overfitting. Ridge-> shrinks large coefficients but retains all features. Lasso-> reduces some coefficients to zero, aiding feature selection. ElasticNet combines both, balancing shrinkage and feature elimination. Polynomial models allow for capturing non-linear relationships by adding interaction terms between features. These methods together help build more powerful and interpretable machine learning models! #MachineLearning #DataScience #AI #Modeling Kindly refer with example https://lnkd.in/gPBMVWZ6

💫 💙 🚀 Day 48 of my Generative AI journey with PW Skills! 🚀 Today's session was a deep dive into the implementation of multiclass classification. We explored the SAGA solver, a powerful tool for large-scale classification, and compared the One-vs-Rest (OvR) strategy with multinomial classification. Understanding the nuances of these methods has broadened my perspective on handling complex data sets and enhancing model accuracy. Feeling more equipped to tackle real-world machine learning problems with these advanced techniques! #MachineLearning #AI #GenerativeAI #DataScience #MulticlassClassification #SAGASolver #OneVsRest #Multinomial #PWSkills #ContinuousLearning

RAG or Fine-Tuning? 🤔 Depends on your use case. 📖📲 🔎Retrieval-Augmented Generation (RAG) combines a retriever with a generator for real-time data fetching, enhancing response accuracy for dynamic, knowledge-based queries. 🛠️Fine-tuning, alternatively, adapts a model directly on a specific dataset, offering precision for static, domain-specific tasks where consistent performance and deep learning adaptation are crucial. 📺Subscribe to Generative AI with Varun to learn more about RAG, Fine-Tuning and more: https://lnkd.in/g9n76kxt #AI #GenerativeAI #LLM #GenAI

Cross-Validation in Machine Learning 📊🤖 Cross-validation is a vital technique for evaluating the performance of machine learning models. It helps ensure your model generalizes well to unseen data. Key Steps: Split your dataset into training and validation sets. Train the model on different subsets while validating on the rest (e.g., k-fold cross-validation). Measure performance across folds to reduce overfitting and improve reliability. Optimize smarter, build better models! 🚀 📞 +1-929-672-1814 | 🌐 www.genai-training.com | ✉️ info@genai-training.com #MachineLearning #CrossValidation #AI #DataScience #ModelOptimization

🚀 Our latest focus has been on the insights from the paper, "How Well Can Vision Language Models See Image Details?" This study delves into the capabilities of Vision-Language Models (VLMs) and how they can be enhanced to better perceive image details, which is critical for high-performance AI solutions. **Key Takeaways:** - **Pixel Value Prediction (PVP):** The study introduces PVP, a task that challenges VLMs to predict pixel-level details, highlighting the importance of fine-grained visual understanding. - **Vision Encoder Adaptation:** The research demonstrates that adapting the vision encoder during training significantly improves VLMs’ ability to reconstruct detailed images. - **Leading Pre-training Strategies:** The introduction of the PAE-LaMM, which integrates the PVP task to enhance the visual detail perception sets a new benchmark for VLMs. At AIOTEK, staying ahead means staying informed. We are driven by the latest research to push the boundaries of what’s possible, ensuring our solutions are always at the leading edge of the industry. 💡** Stay tuned for more updates from AIOTEK, where cutting-edge research meets real-world application!** #AI #Innovation #AIOTEK #VisionLanguageModels #VLM #Research #Technology #MachineLearning #DeepLearning