Abdul Razack’s Post

[Microsoft Azure] - AI study guide: The no-cost tools from Microsoft to jump start your generative AI journey via https://lnkd.in/eS5DHwv2 - #Azure #Cloud #Microsoft ☁️ 🤓

Computer vision, a field within artificial intelligence, has rapidly evolved in recent years, owing to advancements in deep learning, increased computational power, and the availability of vast amounts of data. Azure, Microsoft's cloud computing platform, offers a comprehensive suite of tools and services for building, deploying, and managing computer vision applications. Checkout my article - https://lnkd.in/dwDMZ7-g #computervision #artificialintelligence #microsoftai #microsoftlearn C# Corner

Achieved the Introduction to AI and Machine Learning on Google Cloud Badge on Google Cloud Skills Boost! 🌐✨

Glad to share the successful completion of #CloudSeekhoS5 - #LearnGenAI Completed required quests, received badges and learned Google Cloud Platform concerning #GenAI https://lnkd.in/d5ugaezk #CloudSeekhoS5 #GenerativeAI #googledevelopers #GoogleCloud

Primer badge de Google Cloud ! Introduction to AI and Machine Learning on Google Cloud

Mistral AI launches their new flagship model - Mistral Large. And, it shows promising results on the standard LLM benchmarks. To me, it's a bit more interesting to see that Microsoft Azure ML and Mistral AI have partnered for this launch. Cloud providers (in particular, AWS and Azure) are making strategic partnerships with the most popular LLM providers to stay ahead of the Gen AI demand. Curious to see how this plays out long-term 🤔 https://lnkd.in/eNqgXP_W

Check out this real-life AWS #Bedrock use case by Hemant Javeri. Discover how we at 2bcloud leveraged Bedrock to drive innovation and efficiency in the cloud. https://hubs.ly/Q02LgLHv0

Starting the year by getting completion badge regarding "Introduction to AI and Machine Learning on Google Cloud". Digging deeper on AI and ML on Google Cloud. Quest on. 😊

Learn how Intel Cloud Optimization Modules can improve model efficiency on Google Cloud Platform with lessons such as building nanoGPT models and Kubeflow pipelines with software optimizations: https://lnkd.in/de57PjZJ #iamintel #xgboost #pytorch #oneapi

We have PaaS, IaaS, SaaS, but have you looked into MLaaS? What is machine learning as a service and how does it work? Machine learning as a service is a cloud computing offering that provides on-demand machine learning services. With MLaas, companies can leverage ML learning tools, algorithms, and infrastructure without the need to build and maintain their own solutions from scratch. ML as a service platforms empower businesses to easily integrate machine learning, drive innovation, and enhance data-driven decision-making by utilizing ML to analyze data, gain insights, predict outcomes, and automate tasks. https://lnkd.in/gSyynPv4