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Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

This presentation focuses on how organizations can embark on Gen AI journey from Prompt Engineering, RAG to Fine Tuning LLMs. It delves into how to unlock the power of retrieval-augmented-generation (RAG) for generative AI apps. Discover the art of designing, building, and optimizing RAG applications using Google AlloyDB Omni, a PostgreSQL-compatible database, in tandem with powerful LLMs like OpenAI, VertexAI, or other Open Source variants. Learn how enterprises can transcend from foundational RAG frameworks to Advanced RAG systems, unlocking unprecedented relevancy and accuracy in query responses. Delve into the best practices for deploying RAG applications and gain insights into the evaluation of RAG systems, ensuring optimal performance and maximum impact.

Agenda:

(PDT) 11:50 am - 12:00 pm Arrival, socializing, and Opening (PDT) 12:00 pm - 1:00 pm Prasad Venkatachar "Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs" (PDT) 1:00 pm - 1:15 pm Q&A

About Prasad Venkatachar

Prasad Venkatachar is Sr Director - Solutions Engineering & Products at Pliops. He is focused on Solutions and Product strategy and leading and driving AI/GenAI, Data, Analytics & Storage solutions with partners. He has launched multiple industry-leading Data & AI/ML products & solutions collaborating with Microsoft, IBM, Oracle, Cloudera, and ISV partners to grow revenue & gain market share at Lenovo & HPE. He also served as a Microsoft Data and AI Partner Advisory Council Member and Member of Lenovo Technology Innovation. Served fortune 500 enterprise customers as SME to deliver business value outcomes for Datacenter and Cloud deployments. He has good experience and certified with Multiple Cloud (AWS/Azure/GCP/IBM) and Database (Oracle/DB2/Azure Data) and AI/Gen AI certifications. A regular speaker in Industry Conferences: Microsoft Ignite, Oracle Open World, Developer conferences: Pass Summit, Oracle users group, Flash Memory Summit, SNIA & Gartner Conference

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

Webinar Passcode 216172

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

This presentation focuses on how organizations can embark on Gen AI journey from Prompt Engineering, RAG to Fine Tuning LLMs. It delves into how to unlock the power of retrieval-augmented-generation (RAG) for generative AI apps. Discover the art of designing, building, and optimizing RAG applications using Google AlloyDB Omni, a PostgreSQL-compatible database, in tandem with powerful LLMs like OpenAI, VertexAI, or other Open Source variants. Learn how enterprises can transcend from foundational RAG frameworks to Advanced RAG systems, unlocking unprecedented relevancy and accuracy in query responses. Delve into the best practices for deploying RAG applications and gain insights into the evaluation of RAG systems, ensuring optimal performance and maximum impact.

Agenda:

(PDT) 11:50 am - 12:00 pm Arrival, socializing, and Opening (PDT) 12:00 pm - 1:00 pm Prasad Venkatachar "Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs" (PDT) 1:00 pm - 1:15 pm Q&A

About Prasad Venkatachar

Prasad Venkatachar is Sr Director - Solutions Engineering & Products at Pliops. He is focused on Solutions and Product strategy and leading and driving AI/GenAI, Data, Analytics & Storage solutions with partners. He has launched multiple industry-leading Data & AI/ML products & solutions collaborating with Microsoft, IBM, Oracle, Cloudera, and ISV partners to grow revenue & gain market share at Lenovo & HPE. He also served as a Microsoft Data and AI Partner Advisory Council Member and Member of Lenovo Technology Innovation. Served fortune 500 enterprise customers as SME to deliver business value outcomes for Datacenter and Cloud deployments. He has good experience and certified with Multiple Cloud (AWS/Azure/GCP/IBM) and Database (Oracle/DB2/Azure Data) and AI/Gen AI certifications. A regular speaker in Industry Conferences: Microsoft Ignite, Oracle Open World, Developer conferences: Pass Summit, Oracle users group, Flash Memory Summit, SNIA & Gartner Conference

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

Webinar Passcode 216172

Unlocking the Power of LLMs in Enterprises using Google Cloud We are very happy to announce that we are organising the 15th edition of the Eindhoven Data Community meetup. This time we will be back at one of our favourite locations, the Skybar in Microlab!

This meetup will be all about LLMs! Our speakers from Google and Xebia will tell you all about the possibilities- and challenges of building LLM-driven applications. First, Pankaj Barawal, Customer Engineer Smart Analytics and AI at Google, will showcase how Google can be leveraged to build LLM driven applications. Moreover, he will dive deeper into Gemini, Google’s latest state-of-art GenAI model. Second, Diederik Greveling, CTO at Xebia Base, will talk about how the requirements to bring your GenAI applications into production, and how they differ from traditional ML use cases.

Introduction to Google Cloud LLMs and deep dive on Gemini (Pro/Ultra) During this presentation, we'll delve into the latest advancements from Google in the field of Generative AI, with a particular focus on Gemini, the company's newest multi-modal Generative AI model. Gemini is Google’s most capable and general model yet, with state-of-the-art performance across many leading benchmarks. During this talk, Pankaj will provide an in-depth exploration of Gemini, both the Pro- and Ultra versions. Moreover, Pankaj will showcase how Gemini can be leveraged to build LLM-driven applications on Google Cloud. Don't miss out on this possibility to learn more about Gemini's potential and how it can open up new possibilities for innovation within your organisation.

How to bring your GenAI applications into production: moving from MLOps to LLMOPs Diederik Greveling from Xebia will be sharing insights based on a real-world use case from one of Xebia's clients, which is one of the largest payment service providers in the Netherlands. This presentation will delve deeper into the challenges of bringing GenAI applications into production. More specifically, he will explore the numerous possibilities and challenges surrounding LLMOps (Large Language Model Operations). Moreover, Diederik will highlight how LLMOps architectures differ from traditional MLOps architectures. This is a unique opportunity to learn from direct, hands-on experience and gain a practical understanding of the challenges and solutions involved in implementing these systems.

Program

• 17:00 – 18:00: 🍕Pizza
• 18:00 – 18:10: 🎤 Welcome
• 18:10 – 19:00: 🎤 Pankaj Barawal: Introduction to Google Cloud LLMs and deep dive on Gemini (Pro/Ultra)
• 19:00 – 19:15: ⏸️ Break
• 19:15 – 20:00: 🎤 Diederik Greveling: How to bring your GenAI applications into production: moving from MLOps to LLMOPs
• 20:00-21:00: 🥤Drinks

Speaker 1: Diederik Greveling Diederik Greveling is the CTO at Xebia Base. During his time at Xebia, he has been responsible for migrating multiple companies to the cloud. Currently, he holds the position of Chief Technology Officer at Xebia Base. Xebia Base specialises in providing customised data and cloud solutions that aim to generate business value and accelerate organisations.

Speaker 2: Pankaj Barawal Pankaj Barawal, currently based in Amsterdam, is a seasoned professional with over 11 years of industry experience and presently serves as a Customer Engineer for Smart Analytics and AI at Google Cloud. He holds a Bachelor of Technology degree in Computer Science and is proficient in various skills, including Data Warehousing, ETL, AIML, and GenAI. For the past two years, he has been focusing on Data and AI for Enterprise customers across Benelux at Google Cloud. Before joining Google, Pankaj was associated with HCL and Atos, working on an array of data technologies like AbInitio, Talend, Oracle, and various BigData and Cloud projects.