DeepLearning.AI’s Post

🚀 Exciting News! 🚀 I’m thrilled to share that I’ve completed the Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Skill Badge from Google Cloud! 🌟This course gave me valuable insights into the basics of Retrieval-Augmented Generation (RAG) and how to leverage it for multimodal applications. 💡Looking forward to applying these skills to future projects and continuing my journey in the world of AI and cloud computing! #GoogleCloud #RAG #AI #CloudComputing #MultimodalAI #MachineLearning#GoogleCloudLearning #GoogleCloudSkillBadge

We already allocated half of our cluster's network last week, we still have 1024 available H100 for your project! Ideal use cases: 🔸 AI & Machine Learning: Enhance your AI training and deep learning projects with the exceptional processing power of H100 clusters. 🔸 Data Analytics: Seamlessly manage extensive datasets and perform intricate analytics with unmatched speed and efficiency. 🔸 Scientific Computing: Execute high-performance simulations and computations with outstanding precision and speed. Why Choose Arkane Cloud? ➡ High Performance: Leverage the power of H100 clusters to meet all your computational demands. ➡ Cost Optimization: Rent clusters with commitment to optimize your resource utilization. ➡ Expert Support: Receive expert assistance in finding and designing the ideal cluster for your project. Reserve your H100 cluster now and get ready access to your GPU! 🔗https://lnkd.in/difkNQFg

"Thrilled to have earned the 'Inspect Rich Documents with Gemini Multimodality and Multimodal RAG' skill badge from Google Cloud! This accomplishment highlights my skills in utilizing multimodal prompts for text and visual data extraction, building metadata, and enhancing document analysis using Multimodal Retrieval Augmented Generation (RAG). Excited to continue exploring the power of Gemini in AI-driven document inspection!" https://lnkd.in/gSkMWUZe

Ready H100 available on Arkane Cloud's network! Reserve Your H100 Cluster Today for Unmatched Performance! Up to 2048 H100 for your project. Ideal Use Cases: 🔸 AI & Machine Learning: Supercharge your AI training and deep learning projects with the unparalleled processing power of H100 clusters. 🔸 Data Analytics: Effortlessly manage large datasets and perform complex analytics with superior speed and efficiency. 🔸 Scientific Computing: Conduct high-performance simulations and computations with remarkable precision and speed. Why Choose Arkane Cloud? High Performance: Harness the power of H100 clusters for all your computational needs. Flexibility: Rent clusters as needed, optimizing your resource utilization. Expert Support: We can help you to find and design the cluster you need for your project. Reserve your H100 cluster now and get ready access to your GPU! 🔗https://lnkd.in/difkNQFg

"Excited to share that I've just earned my Gemini Multimodality and Multimodal RAG Skill Badge on Google Cloud! With this badge, I'm now equipped to analyze and extract insights from complex documents and images. Looking forward to applying my new skills in my next project! #Gemini #GoogleCloud #DocumentAnalysis"#GoogleCloudLearning #GoogleCloudSkillBadge

Here is my latest blog about: Abstracting Azure Service Bus And Azure Queues To Ship Messages - https://lnkd.in/dQsq3hRv Constructing trendy functions requires builders to always undertake newer applied sciences over time. Over the previous few years, a number of queuing applied sciences have been launched, with varied protocols and SDKs, which might make it tough for builders to rapidly undertake new applied sciences over time. On this article, I'll reveal easy methods to write a easy queuing interface that can be ... Do Like & Share :)

🚀 Excited to share our latest research published at #CVPR2024! Introducing "Wednesday", our novel framework for multiway point cloud mosaicking. Wednesday co-aligns overlapping point clouds from 3D scanners or RGB-D cameras into a unified system. At its core is ODIN, a new SOTA pairwise registration algorithm using diffusion-based denoising for enhanced matching accuracy. Key features: 🔹 Pose graph construction from pair-wise poses. 🔹 Fast rotation optimization. 🔹 Globally optimal robust translation estimation. 🔹 Joint optimization of rotations and positions. Our method achieves state-of-the-art results on four large-scale datasets, outperforming existing benchmarks. Paper: https://lnkd.in/dJiXiayu Code: coming very soon #3DScanning #PointClouds #ComputerVision #CVPR2024

🎊 I have completed the advanced level of Generative AI for Developers Learning Path powered by Google cloud boost. #GoogleCloud #LearningPath #ContinuousLearning #GenerativeAI

Here is my latest blog about: Abstracting Azure Service Bus And Azure Queues To Ship Messages - https://lnkd.in/ejDC-nvb Constructing trendy functions requires builders to always undertake newer applied sciences over time. Over the previous few years, a number of queuing applied sciences have been launched, with varied protocols and SDKs, which might make it tough for builders to rapidly undertake new applied sciences over time. On this article, I'll reveal easy methods to write a easy queuing interface that can be ... Do Like & Share :)