Enable single sign&on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for generative AI, SageMaker Canvas […]
Jat Ai Hub - News Portal’s Post
More Relevant Posts
-
Bringing AI solutions to productions just got easier !! Leveling up my skills in #MachineLearningOperations As a Product Owner, understanding end-to-end machine learning lifecycle is crucial for delivering successful AI products. Earning this MLOps certification will help me drive efficient deployment & monitoring of ML models. #MLOps #Machinelearning #Drift&Bias #UnderstandingMLOps #MachineLearningOperations #AWS #AmazonSageMaker #SageMakerClarify #Pytorch #Scikit #TensorFlow #Conceptdrift #Featuredrift #TensorFlow
To view or add a comment, sign in
-
Today's menu: Key benefits of using Amazon SageMaker JumpStart in a nutshell. 💡 As a pioneering AWS Generative AI Competency Partner, we are here to help you understand the latest Gen AI offerings on #AWS. This hub for machine learning (ML) accelerates the use of ML in your business. It offers access to pre-trained models that can be customized with your data to perform tasks such as article summarization and image generation. The user-friendly interface and SDK allow for seamless deployment of these models in production. SageMaker JumpStart offers pre-built solutions for common use cases and enables sharing of ML artifacts, such as models and notebooks, within your organization. This accelerates the creation and deployment of ML models. For those, who like to have a kickstarter, without training your own model, check out our Storm Innovator Gen AI, which is designed to help you get started quickly on your GenAI journey. 👉 https://lnkd.in/eJDq_fyJ AWS Partners #GenAI #ML
To view or add a comment, sign in
-
#AmazonSageMaker automates so you can innovate. 🤖 https://go.aws/4fnAKhB Learn how to automatically fine-tune AI at Meta Llama 3.x foundation models whenever a new version or dataset is available with the Amazon SageMaker Pipelines visual designer. #AWS #generativeAI
To view or add a comment, sign in
-
New book is out! Our 𝗔𝘇𝘂𝗿𝗲 𝗢𝗽𝗲𝗻𝗔𝗜 𝗖𝗼𝗼𝗸𝗯𝗼𝗼𝗸 has officially been published by Microsoft and Packt! 🎉 I wrote this along with fellow co-authors Sina Fakhraee, Balamurugan Balakreshnan, and Jiadong Chen. We finished the final draft about six months ago, and now it's available for you to download at the link below on Microsoft's website: 🔗 𝗔𝘇𝘂𝗿𝗲 𝗢𝗽𝗲𝗻𝗔𝗜 𝗖𝗼𝗼𝗸𝗯𝗼𝗼𝗸 https://lnkd.in/gvVdFpem 📌 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 - ✅ Get an overview of generative AI - ✅ Learn how to effectively integrate OpenAI models - ✅ Find tutorials on creating your first chatbot - ✅ Learn advanced techniques for fine-tuning LLMs - ✅ Gain insights and practical tips from real-world examples #AzureOpenAI #AI #Azure #GenerativeAI #BookRelease #Microsoft #Packt #AITransformation #OpenAI
To view or add a comment, sign in
-
Hi, I am excited to share that I've achieved a new certification in Building and Deploying a Generative AI solution using a RAG framework through Google's L400 Advanced Generative AI training. #AI #Certification #Google #L400 #GenerativeAI
Build and Deploy a Generative AI Solution Using a RAG Framework Skill Badge was issued by Google Cloud to Pradeep Lachireddy.
credly.com
To view or add a comment, sign in
-
Generative AI has simplified building of complex use cases with the advent of AWS Services like Amazon Bedrock. In my second blog post, I have discussed about building a simple audio summarizer using Amazon Bedrock. The solution is completely deployable on AWS using SAM template. I would like thank my mentor Aparajithan V. for idea and support behind this solution.
Building a Generative AI audio summarizer using Amazon Bedrock
medium.com
To view or add a comment, sign in
-
Continuous learning is essential. That’s why I’m excited to share I’ve earned my Build and Deploy a Generative AI solution using a RAG framework skill badge #GoogleCloudLearning #GoogleCloudSkillBadge #GoogleCloudPartner #L400
Build and Deploy a Generative AI Solution Using a RAG Framework Skill Badge was issued by Google Cloud to Alexis Thompson.
credly.com
To view or add a comment, sign in
-
Continuous learning is essential. That’s why I’m excited to share I’ve earned my [L400] Build and Deploy a Generative AI solution using a RAG framework skill badge #GoogleCloudLearning #GoogleCloudSkillBadge #GoogleCloudPartner
Build and Deploy a Generative AI Solution Using a RAG Framework Skill Badge was issued by Google Cloud to Shubham Asabe.
credly.com
To view or add a comment, sign in
98 followers