Josh Thomas’ Post

I'm thrilled to share that I've recently completed Google Cloud's Introduction to Large Language Models (LLMs) program! This course provided a fantastic introduction to the world of LLMs, exploring their capabilities and potential applications. I gained valuable insights into: -->The fundamental concepts and architectures of LLMs -->The vast potential of LLMs to revolutionize various industries This program has definitely sparked my interest in this rapidly evolving field, and I'm eager to continue learning and exploring the possibilities of LLMs. #googlecloud #machinelearning #artificialintelligence #LLMs #bigdata #cloudcomputing

Here is one of the most comprehensive comparative analyses of the AI/ML performance of SAS vs. alternatives. The research firm, Futurum Group did this study conducting more than 1500 tests across different Microsoft Azure architectures... https://lnkd.in/gjz65rYd

😎🛬Just got back from an incredible week at Google Cloud Next 24 in Vegas!  It was truly inspiring to be surrounded by such a passionate and innovative community of developers, data scientists, and cloud architects. Here are some key takeaways that resonated with us: ➡️ Generative AI is Taking Center Stage: Google's focus on Generative AI was a major highlight. From building generative AI apps to testing large models, it's clear that this technology is poised to revolutionize various industries. ➡️ The Future of Data Storage is Natural Language: The announcement of Gemini, a tool that lets you analyze storage with natural language, is a game-changer for data engineers. Say goodbye to complex queries and hello to intuitive storage management! ➡️ Optimizing Google Cloud for Every Need: Google Cloud is making serious strides in workload optimization. From cost-saving storage solutions with Google Cloud NetApp Volumes to simplified VM migrations, they're streamlining the cloud experience for businesses of all sizes. These are just a few highlights—there was so much more to see and learn!  If you're working in data or the cloud, I highly recommend checking out the Next '24 wrap-up for all the announcements: [https://lnkd.in/dqqvjndY] 💬🤔What were your favorite parts of Google Cloud Next 24? Let's chat in the comments!  #GoogleCloudNext #CloudTechnology #GenerativeAI

At day 1 of Amazon Web Services (AWS) #reinvent2023. Exciting news on #bedrock to help safeguard use of #genai and #codewhisperer to help write code faster in multiple languages. More to come as the week unfolds. All of these exciting innovations need high quality #data to maximize the business benefits. That’s why at Syniti we believe in a #datafirst strategy. Leading companies lead with data!

Running LLMs inside #snowpark container services Excellent step by step guide

This year, I've attended several Google Cloud events, and they've unveiled some really handy features, particularly valuable for machine learning engineers and data engineers. Today, I'm at the Google Cloud Summit in Amsterdam. During the event, I had the opportunity to delve into presentations on LLMOps, exploring how the architecture for LLM-based solutions can be optimized for best practices. One feature that has sparked my interest is Duet AI. Imagine having a chatbot, trained on your company's metadata (i.e. Confluence documents and database schemas). You can ask about specific KPI or insight on the data, and this agent will try to find the answer from the trained metadata or even generate SQL queries and execute it on top of the database and returns the answer with analysis. It can create charts and looker dashboards to present the information! As we move forward, Gen-AI based applications are indeed maturing and becoming increasingly practical and valuable. #google #googlecloudsummit #gcp

Here is my latest blog about: Abstracting Azure Service Bus And Azure Queues To Ship Messages - https://lnkd.in/dHZfzZP2 Constructing trendy functions requires builders to always undertake newer applied sciences over time. Over the previous few years, a number of queuing applied sciences have been launched, with varied protocols and SDKs, which might make it tough for builders to rapidly undertake new applied sciences over time. On this article, I'll reveal easy methods to write a easy queuing interface that can be ... Do Like & Share :)

Summer is coming but we have Arctic chills Snowflake, a cloud computing company, has unveiled Arctic LLM, a 480 billion parameter generative AI model optimized for enterprise workloads like generating database code and SQL queries. #Arctic LLM, trained on open public web data sets, is available under an Apache 2.0 license and is free for research and commercial use. The #model, which took around three months, 1,000 GPUs and $2 million to train, is described as "enterprise-grade". It is expected to serve as the foundation for Snowflake & its customers to build enterprise-grade products and realize the value of #AI. Arctic LLM claims to outperform some other large language models on coding and language understanding #benchmarks.     🐾 Our Comment Snowflake is used by many companies, even in the gaming industry. It seems that Arctic LLM serves as a funnel into the Snowflake product ecosystem, which is an effective way of optimizing resources and tuning workflows. We will definitely give Arctic LLM a try and see how we can benefit from it! 👑 Here are our VIP alert subscribers: Vitalii Bortnik, Martyn Redstone, Aliaksei Nastsin, Sergei Sherman, Shapath Das, Guy Sebbag, Eugene Gladovskiy, Illia Shestakov, Albert Nicola, Samuel Wang, Cohi Elchadef Manobela, Adi Beker, Junwoo Yun, Maryanne Collins, Kirill Shamanskiy, Vakhtang Matskeplishvili, Odem Alagem אודם 🎡 , Shahar Butz, Marianna Inozemtseva, Asya Polyak, Guy Galin, Alisa Yurchenko, Adrian Magearu.,Elad Cohen, Chen Offek, Evgenii Raisfeld, Kamil Sawko, Michal Lissak, Eze Vidra, Yash Baid, Cosmin Tanase, Shashikiran R, Erez Rachmil, Meir Peleg, Raz Rosh, Almog Ben Simon #tech #innovation #LLM #coding #mobile #game #development

#AWS #Reinvent is nearly upon us and the SysGroup team will be there! We will be spending time with customers, AWS and partners whilst absorbing as much content as we can throughout the day. If you would like to talk all things machine learning drop me a message. Keep an eye out for my Reinvent ’23 predictions next week and daily recaps throughout the week. #awsreinvent #awsreinvent2023

We're coming to AWS re:Invent and would love to talk to you about how we are reimagining #observability with our intelligent observability pipeline. Sign up to schedule a meeting with us. https://lnkd.in/g2gSuseN #awsreinvent #observo #observability #LetsGoObservo