APPGAMBiT’s Post

Come learn how #AmazonBedrock and Claude 3 Haiku were used to revolutionize picture searching in a use-case from the textile sector at this thought-provoking session at AWS re:Invent. 🔗 https://go.aws/3BKcQOy Learn from AWS Hero Dhaval Nagar how to build a scalable, safe, and affordable image pattern search system using AI-driven attribute recognition. Explore how AWS Lambda, Amazon Aurora Serverless, AWS Step Functions, and Amazon API Gateway work together to process and index thousands of images flawlessly. You'll gain useful knowledge and tried-and-true AWS advice. Those with an interest in AI/ML, Serverless Compute, and Containers should definitely attend this session. Learn practical strategies for addressing industry problems with state-of-the-art AI and serverless technologies. Searching images through patterns: An AI-powered serverless solution Session ID: DEV204 Session Type: Breakout Speaker: Dhaval Nagar, AWS Hero Primary Topic: AI/ML Secondary Topic: Serverless Compute & Containers Be Prepared! ⭐ Add to Your Favorites #AWSreInvent #AI #ML #Serverless

Day 23 of #30DaysCloudChallenge 🚀 Today, I delved into Amazon Rekognition and discovered the immense potential of AI-powered image recognition for real-world applications! Steps I followed: 1. Set up AWS account and accessed Rekognition. 2. Uploaded sample images for testing. 3. Used DetectLabels API to identify objects and scenes. 4. Analyzed content with DetectModerationLabels for safety. 5. Fine-tuned parameters for improved accuracy. 6. Explored real-world integration and monitoring strategies. Big thanks to my mentors Soundariya B and Dhanish Ahmed for their guidance and support throughout this journey. Excited to continue this journey and unlock more cloud possibilities! 🚀 #AWS #AmazonRekognition #CloudComputing #AI #MachineLearning #LearningInPublic #CloudJourney

🚀 Excited to share our latest blog post on "Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock". Co-written with Michael Shaul and Sasha Korman from NetApp, the post delves into the world of generative AI applications and its foundation models' access to additional data using Retrieval Augmented Generation (RAG) technique. Discover an innovative solution utilizing Amazon FSx for NetApp ONTAP with Amazon Bedrock, enabling your generative AI applications to leverage unstructured user file data on AWS effortlessly and securely. Learn how our solution addresses data security concerns and prevents unauthorized access, providing a scalable, automated, and API-driven serverless application layer on top of Amazon Bedrock and FSx for ONTAP. Don't miss out on this insightful read! Explore the full blog post at https://ift.tt/LaotQvW. #AI #AWS #AmazonFSx #GenerativeAI

Delighted to announce that I've earned my AWS Cloud Practioner Essentials Certificate from AWS! 🌟 This accomplishment reflects my passion for harnessing the power of artificial intelligence and machine learning to drive innovation and solve complex challenges. As AI and ML continue to revolutionize industries, I'm proud to be at the forefront, equipped with the latest skills and expertise from AWS. Excited to apply these learnings to create impactful solutions and drive positive change. #AWS #AI #MachineLearning #Innovation #ArtificialIntelligence #DataScience #AWSMachineLearning #AWSAI #TechSkills #AWSCommunity #InnovateWithAI #MachineLearningEngineer #AIExpert #CloudAI #MLInnovation #DataAnalytics #AIApplications #MLModels #AWSBadges #ContinuousLearning

Hey, I am excited to share that, I have completed my gen ai and AWS EC2 tasks in Innomatics Research Labs. Under the guidance of Kanav Bansal . #EC2 #gen_ai #mlops Gen AI

These are the kinds of things you need to think about when deploying AI into your enterprise - Deepak Arora is hugely knowledgable and experienced in this space!

🔥 Amazon Web Services (AWS) announced an approach to tackle one of the biggest challenges in generative AI - hallucinations. Introducing Automated Reasoning capabilities in Amazon Q that mathematically verify the accuracy of LLM responses about AWS services. Yes, you read that right the first time! This preview feature uses formal verification techniques to validate statements about AWS services, ensuring responses are factually correct. Think of it as a mathematical proof system for LLM outputs! The best part? It's already available in preview within Amazon Q for AWS. This means more reliable, trustworthy responses when querying about AWS services, configurations, and best practices. Let's get building! 🏗️☁️👩💻🧑💻 🏷 Feel free to mention someone who would benefit or might be interested in this content. 💬 Are you using Amazon Web Services (AWS)? Share your experiences in the comments. ♻ Use 'Repost' to help others discover this content. ✨ Follow me for more news, blogs, and tips on data analytics, generative AI, machine learning, and serverless technologies. #aws #awscloud #generativeai #genai #llm #hallucinations #automatedreasoning #enterprisegrade https://lnkd.in/gQUdZNPW

Stop by the Anyscale booth # 1920 at AWS Re:Invent to see why today's advanced AI teams and businesses trust Ray on Anyscale for everything from data processing, training, tuning and inferencing. #generativeAI #genAI #machinelearning #Artificialintelligence #LLMs

Day 6 of 30 days challenge!! --- 🚀 *Detect Faces & Objects Instantly with Amazon Rekognition* 🚀 Imagine quickly identifying faces, objects, and even emotions with Amazon Rekognition, leveraging AI-powered image and video analysis has never been easier. This powerful tool helps you: 🔍 *Identify faces* for security and personalization   📸 *Detect objects and scenes* in images   😊 *Analyze emotions and attributes* to gather insights. 1. Guidlines to detect object using AWS Rekgnition: -In AWS Rekognition,click label detection. -Upload picture of your choice in jpg or jpeg format. -It detects the objects present in the image and provides results. 2. Guidlines to detect face using AWS Rekgnition: -In AWS Rekognition,click Celebrity recognition. -Upload a picture of your choice(jpg or jpeg). -It detects the celebrity and provides the information of them. 3. Facial analysis using AWS Rekognition: -In AWS Rekognition ,click Facial analysis. -Upload a picture of your choice. -The tool analyse the picture and displays the information . Perfect for enhancing security, improving customer experiences, or powering interactive applications, Rekognition is a game-changer for businesses of all sizes! I am grateful for Dorene Roxana and Suganraj S for guiding me through this journey and PEP Cloud Computing (AWS/ Azure/ GCP) and DevOps Centre for this wonderful oppurtunity #AWS #AmazonRekognition #ComputerVision #AI #Innovation #30dayschallenge

AWS Nova announcement came out with intereting features today in the AWS Re:Invent Event! 🚀Amazon #Nova - New Generation of Foundational Model - seems to bring new momentum to an already competitive race in GenAI space. The strong focus on cost efficiency, scalability, and seamless cloud integration, it directly challenges OpenAI’s GPT models and others. 💡 Differentiators that I capture from the keynotes: • 75% lower training costs, reshaping the economics of large-scale AI development. • 4x faster training for trillion-parameter models, driving efficiency in iteration and deployment. • Cloud-native architecture leveraging AWS’s infrastructure to simplify AI workflows and data integration framework. It will be exciting to see how Nova will be pushing competitors (OpenAI, Llama, Copilot Studio…) to rethink their capabilities, cost structures, and infrastructure strategies. The competition continues to heat up, and that’s where the real breakthroughs emerge. #GenerativeAI #AmazonNova #LLMInnovation #AICompetition #CloudComputing #AILeadership #AWSReinvent #ArtificialIntelligence #TechInnovation #FutureOfAI #ScalableAI #MachineLearning #AIApplications #AITransformation #InnovationAtScale