Baskar Sridharan’s Post

🎨 Unleash the Power of Generative AI! 🤖 Amazon SageMaker JumpStart now offers Stable Diffusion 3.5 Large - the latest and greatest in text-to-image AI models! 🖼️ ✨ Create stunning, high-quality images from simple text prompts. 💡 Leverage state-of-the-art AI technology to boost your creative projects. 📈 Streamline your workflow and unlock new possibilities for your business. Discover how Stable Diffusion 3.5 Large can revolutionize your creative process and drive innovation in your organization. 🚀 https://lnkd.in/eZ-TK6bJ #aws #amazon #ai #artificialintelligence #bigdata #ml #machinelearning #dataanalytics #datascience #genai #generativeai #llm #stablediffusion #amazonsagemaker #amazonsagemakerjumpstart

📩 When deploying #AI solutions to production to drive business decisions, managing the models behind these solutions can be challenging. Machine Learning Operations (#MLOps) addresses this challenge. 📰 The article below details how one of our clients utilized MLOps to reduce engineering heavy lifting, cut administrative costs, and enhance business decision-making. Take a look! 👇 https://lnkd.in/eaVFZEzp

Before the summer break, I did a feasibility study about finding logos in social media posts. Well, as you can imagine the image quality can be varying (compared to a nicely specified machine vision application). Anyway, the results have surprised me. This is not a full training set, but more a proof of concept using Amazon Rekognition. It does make me wonder what the difference is between different AI image libraries, how they perform, and how much it comes down to a good selection of features. https://lnkd.in/d7s-x_T5 #AI #AmazonRekognition #SocialMedia #ImageRekognition #ComputerVision

🚀 Introducing the new Amazon SageMaker’s inference optimization toolkit!🔥 This feature delivers up to ~2x higher throughput while reducing costs by up to ~50% for GenAI models such as Llama 3, Mistral, and Mixtral models. 🌟 🏆 It leverages the latest generative AI model optimization techniques such as compilation, quantization, and speculative decoding, helping you achieve best price-performance for your use case. 💰 Here is how to get started:👇 1. Choose your desired model from the SageMaker Jumpstart 2. Select the pre-optimized model that meets your throughput and latency needs. 3. Click "Deploy," and voilà! 🎉 Or  1. Choose your desired model from the SageMaker Jumpstart 2. Select your instance type and preferred optimization technique. 3. Create a custom optimization job. 4. Click to Deploy your custom-optimized model. Don't just take our word for it, checkout the blogs and the example notebooks to try it yourself! 🔮🔥 Part 1: https://lnkd.in/gjW7y-8b Part 2: https://lnkd.in/g6drRzzD Shoutout to the amazing team who collaborated with me on this blog! Saurabh Trikande, Rishabh Ray Chaudhury, kumara Swami Reddy Borra, Qiyun Zhao, Qing Lan, Ram Vegiraju, Marc Karp, Raghu Ramesha, Pierre LIENHART, Pinak Panigrahi #amazonsagemaker #generativeai #aws #genai

🚀 Excited to share how LotteON improved their recommendation service using Amazon SageMaker and MLOps! 🛒🔍 Learn how they enhanced the shopping experience with a deep learning-based recommendation algorithm and CI/CD pipeline. Check out the full article for details: #AI #MachineLearning #RecommendationSystem Read more: [How LotteON Built a Personalized Recommendation System using Amazon SageMaker and MLOps](https://lnkd.in/eynwi3gV)

Updates on #AI : Unlock Human-like Conversations: Cohere Rerank 3 Now Generally Available on Amazon SageMaker JumpStart, Full article link 👇🏻👇🏻 https://lnkd.in/dkW48e3Z #artificialintelligence #machinelearning #ML

🚀 Harnessing Custom Models with Amazon Bedrock 🚀 Are you looking to elevate your AI capabilities? The latest post from AWS provides an exciting guide on how to import a fine-tuned question answering model into Amazon Bedrock using the Custom Import Model feature! 🎉 What’s Inside? The article outlines a clear, step-by-step approach to fine-tuning a Mistral model with SageMaker and seamlessly importing it into Amazon Bedrock. This process not only enhances your model’s performance but also tailors it to meet your specific business needs. Why This Matters: - Customization: Unlike traditional RAG (Retrieval-Augmented Generation) solutions, which often rely on existing databases for generating responses, this method allows you to create a model that’s uniquely suited to your data and requirements. - Increased Relevance: By fine-tuning your model, you can ensure it understands the nuances of your industry or specific use case, resulting in more accurate and contextually relevant answers. - Integration with Amazon Bedrock: This powerful combination enables businesses to leverage the vast capabilities of cloud-native AI while maintaining control over their custom models. Check out the full guide here: https://lnkd.in/gdAnG2Bc. #amazonbedrock #custommodels #AI #machinelearning #SageMaker #innovation

Updates on #AI : Unlock Human-like Conversations: Cohere Rerank 3 Now Generally Available on Amazon SageMaker JumpStart, Full article link 👇🏻👇🏻 https://lnkd.in/dn4J_rMN #artificialintelligence #machinelearning #ML

🚀 Exciting news for AI enthusiasts! 🚀 Check out this latest blog post on the new Custom Model Import feature for Amazon Bedrock. This innovation from AWS offers businesses a powerful way to import and utilize custom foundation models in a scalable, serverless environment. In this article, you'll learn about what Custom Model Import is, its key features and use cases, and a step-by-step guide to get started. This feature, currently in preview, opens up new possibilities for AI and ML customization. If you're interested in AI or exploring how to fine-tune and scale custom models, this post is a must-read! 💻📈 🔗 Read the full article on Medium: https://lnkd.in/dXGJU3kv Let's discuss the future of AI and ML in the comments below! 👇 #AI #MachineLearning #AWS #AmazonBedrock #FoundationModels

🚀 Exciting AI News! 🤖 Amazon announced a new way to import fine-tuned Question Answering models into Amazon Bᴇᴅʀᴏᴄᴋ as custom models! 😮 This allows you to leverage Bᴇᴅʀᴏᴄᴋ's scalability and robustness for your own customized QA models. 👉 In 3 easy steps, you can bring your own pretrained model into Bᴇᴅʀᴏᴄᴋ: 1️⃣ Export your PyTorch or TensorFlow model. 2️⃣ Create a Bᴇᴅʀᴏᴄᴋ custom model linking to the exported model. 3️⃣ Make API calls to the custom model to generate answers! 🤩 The possibilities are endless! You can now easily deploy industry-specific, proprietary or customized QA models at scale. Super useful for customer service, e-commerce, healthcare and more! 😲 This unlocks new ways to leverage AI and transformers for your business. Read more in the link below for a detailed tutorial. https://lnkd.in/ePqFrBsb #aws #amazon #ai #artificialintelligence #bigdata #ml #machinelearning #dataanalytics #datascience #genai #generativeai #amazonbedrock