AI21 Labs’ Post

Jamba is available in Azure!

#GenerativeAI revolutionizes industries by enhancing efficiency, fostering innovation, and empowering data-driven decision-making. However, navigating this cutting-edge technology requires guidance and expertise. #Eviden and #Microsoft have partnered to offer you a free workshop that will introduce you to the Microsoft Generative AI Consulting Offer, a comprehensive service that covers the entire Gen AI lifecycle, from use case thinking to agile prototyping to production. Register now and get ready to turn possibilities into realities! 👉 https://lnkd.in/ebF4Bx7F #GenerativeAI #AIConsulting #Innovation #MicrosoftGenAI #DigitalTransformation #Eviden #CloudTransformation #DigitalTransformation #CloudConsulting #BusinessTransformation #BusinessTransformation #PowerofPartnership #Innovation #Technology #creativity #Future #Productivity #bigdata #Gettingthingsdone #TechnologyConsulting#Microsoft #Azure #MicrosoftAzure #MicrosoftCloudSolutionPartner #cloud #AzureCloud #GenerativeAI #GenAI #DevOps #Agile #CloudExperts #CloudExperts

🚀 **The Easy-to-Move Box: Optimizing GenAI Chatbots with Cost-Effective VM Strategies** 🚀 Developing chatbots using high-end AI platform services like Azure AI Studio, AWS Bedrock, and OpenAI can be costly. Here are six strategies to minimize expenses and maintain flexibility, with a focus on leveraging Virtual Machines (VMs): 1. **No-Code/Low-Code Development**: Azure AI Studio and AWS Bedrock offer no-code/low-code capabilities, simplifying the creation of GenAI assistants and chatbots with API calling, reducing development time and costs. 2. **Use Open-Source Models**: Leverage open-source models from platforms like Hugging Face to reduce dependency on expensive proprietary models. 3. **Docker for Containerization**: Containerize your chatbot models using Docker, allowing flexible deployment on VMs across different cloud providers or on-premise infrastructure. 4. **Minimize High-Cost Services**: Avoid unnecessary high-cost services such as advanced document processing when simpler solutions suffice. 5. **Migration Flexibility**: Ensure your solutions are not tightly coupled with a single provider, making it easier to migrate your Dockerized applications to other VMs or cloud platforms if needed. 6. **Cost Monitoring and Optimization**: Regularly monitor the performance and costs of your AI services and VM usage, making necessary adjustments to optimize efficiency. By focusing on VM deployment, you ensure scalability, cost-efficiency, and ease of migration. Strategize and stay flexible to drive innovation without high costs! #TechInnovation #CloudComputing #GenAI #AzureAIStudio #AWSBedrock #OpenAI #HuggingFace #APIs #VectorDatabases #FAISS #RAGChatbots #Docker #Microsoft #AWS #VirtualMachines #CostOptimization

Unlock Seamless Azure Infrastructure for Your Generative AI Projects with Tarams Navigating the Complexity of Azure Infrastructure? We've Got You Covered! At Tarams, we understand the intricate challenges businesses face when deploying and managing Azure infrastructure for generative AI applications. From daunting setup processes to optimizing for efficiency and scalability, the journey can be complex. That's where we shine! Why Choose Us? ✅ Expertise in Azure: Our team of Azure-certified professionals brings deep knowledge and hands-on experience in architecting, deploying, and managing Azure environments tailored for generative AI needs. ✅ Custom Solutions: We don’t believe in one-size-fits-all. Our approach is to understand your specific project requirements, ensuring your infrastructure is not just a cost center, but a value generator. ✅ Scalability & Efficiency: With generative AI's dynamic resource demands, we focus on creating scalable solutions that grow with your project. Our optimization strategies ensure you get the most out of Azure, both in terms of performance and cost. ✅ Security & Compliance: Navigating the security landscape is crucial. We implement best practices to protect your data and ensure compliance with relevant regulations, giving you peace of mind. ✅ Ongoing Support: From initial setup to continuous optimization, our team is here to support your journey, ensuring your infrastructure remains aligned with your project’s evolving needs. Your Success is Our Mission We believe that the right infrastructure is the backbone of successful generative AI projects. Partner with Tarams, and let us take the infrastructure complexities off your plate, allowing you to focus on innovation and growth. Ready to elevate your generative AI projects with optimized Azure infrastructure? Let's talk! Reach out to us at [email protected] or drop us a message here on LinkedIn. #microsoft #azure #genai #ai #aiml #ml #mlops #llmops 

Harnessing the Next Wave of Innovation: Key Takeaways from Microsoft Discovery Day Microsoft #DiscoveryDay #Innovation #CTOPerspective #AI #Azure #CloudNative #TechnologyLeadership #micorsoft Microsoft Discovery Day in Bengaluru has been an enlightening experience that reinforced our commitment to technological excellence and innovation. Today, I had the pleasure of witnessing a masterful demonstration by Sandeep Alur, who showcased the transformative power of intelligent apps integrated with Azure Vision and Azure Service Fabric. This aligns perfectly with our strategic direction, as we are actively integrating AI and cloud-native solutions to not only enhance our product offerings but also to drive operational efficiency. We're at a tipping point in enterprise technology where AI and cloud computing are not just enablers but are core to our product development and service delivery. Azure's suite, including managed AI and container services, offers the scalability and security we need to accelerate our growth and maintain our competitive edge. The use cases presented were especially valuable. They provided a glimpse into the future where every application is infused with intelligence, enabling personalized user experiences and empowering businesses to deliver exceptional value. #TechFuturism #CloudComputing #ArtificialIntelligence #StrategicInnovation #enterprisetech

Best Practices for Scaling AI Bots on Azure! As AI continues to be integrated into various business processes, scalability becomes increasingly important. Here are some best practices to ensure your Microsoft Teams AI bot, powered by Azure OpenAI API and Azure Bot Framework, is scalable: 1. API Load Distribution: Utilize Azure API Management to distribute API loads effectively across different backend resources. Implement a round-robin weightage mechanism to manage traffic evenly or leverage Microsoft's PTU billing model. 2. AI Search Scaling: Enable autoscaling for Azure Cognitive Services to ensure that AI search capabilities efficiently scale with demand. This allows the system to handle varying loads seamlessly. 3. Horizontal Scaling: Focus on horizontal auto-scaling at the Azure App Services level to ensure that the application can scale out based on demand. This approach is essential for accommodating spikes in user engagement without compromising performance. 4. Stateless Bot Design: Develop your bot and orchestration code to be stateless. Avoid local caches or similar components that could hinder deploying horizontal auto-scaling. This practice ensures that each instance of your service can operate independently, which is key for effective scaling. These strategies are essential for developing scalable AI bots that can handle significant workloads and ensure consistent performance. Embrace these trends to stay ahead in the rapidly evolving landscape of enterprise AI solutions. #AI #Azure #Scalability #CloudComputing #MicrosoftTeams #OpenAI

Join us on January 29th for Microsoft #Azure & #Datadog's 2-part virtual summit on organizational leadership and AI Engineering best practices. Part 1 features a thought leadership fireside chat with Microsoft and Datadog, providing insights into enterprise AI observability trends and best practices. Part 2 is a webinar for engineers and technical teams implementing Azure services and applications. Learn how to add observability to Azure managed services, including CosmosDB and Azure OpenAI, and monitor key performance trends with generative AI on Azure using Datadog. Register now at https://lnkd.in/eaiE2WPw to gain valuable insights and best practices for your organization.

Join us on January 29th for Microsoft #Azure & #Datadog's 2-part virtual summit on organizational leadership and AI Engineering best practices. Part 1 features a thought leadership fireside chat with Microsoft and Datadog, providing insights into enterprise AI observability trends and best practices. Part 2 is a webinar for engineers and technical teams implementing Azure services and applications. Learn how to add observability to Azure managed services, including CosmosDB and Azure OpenAI, and monitor key performance trends with generative AI on Azure using Datadog. Register now at https://lnkd.in/didSsz4G to gain valuable insights and best practices for your organization.

My watch list for Microsoft Ignite 2023! 🚀 1. Microsoft Ignite opening 2. AI transformation for your organization with the Microsoft Cloud 3. Inside Microsoft AI innovations with Mark Russinovich 4. The Future of Security with AI 5. Becoming an AI-Powered Organization with Microsoft Copilot 6. Vector Search: Retrieval Augmented Generation and Generative AI Apps 7. Unlock AI innovation with Azure AI Infrastructure 8. Implement a Generative AI Solution with Azure OpenAI Service 9. GitHub Copilot and AI for Developers: Potential and Pitfalls with Scott Hanselman 10. Migrate to Innovate: Be AI-ready, secure, and optimize operations 11. Cloud Native Innovations with Mark Russinovich 12. Make your data AI ready with Microsoft Fabric and Azure Databricks Looking forward to Ignite 2023! 🔥 #MicrosoftIgnite

🌟 Thrilling developments at Microsoft Build 2024! Over 200,000 attendees explored innovations in AI, cloud platforms, low-code, and more. Major highlights include AI-infused Copilot+ PCs, Azure's new AI models, and transformative tools in Microsoft Fabric. Dive into the future of AI and tech! 🚀 #MSBuild #AI #TechInnovation #MicrosoftBuild2024