What we’re about
Ce groupe s'adresse à toutes les personnes intéressées par le développement d'applications, les APIs, le cloud, le cognitif ou encore l'intelligence artificielle. Professionnels de l'informatique, entrepreneurs, étudiants ou simple curieux sont invités à nous rejoindre. Les Meetups peuvent prendre la forme d'une table ronde, d'une conférence ou encore de sessions de mise en pratique, ils seront animés par des professionnels IBM passionnés, des témoignages clients, des intégrateurs...
Les Meetup ont pour sujet commun la plateforme IBM Coud dont vous trouverez la description plus bas. Vous pouvez tester gratuitement la plateforme en créant un compte IBM Cloud Lite Account (https://www.ibm.com/cloud/lite-account) sur le site d'IBM Cloud (https://www.ibm.com/cloud/)
What is IBM Cloud ?
https://www.youtube.com/watch?v=oCIZybdR_Y8
IBM's innovative cloud computing platform combines platform as a service (PaaS) with infrastructure as a service (IaaS) and includes a rich catalog of cloud services that can be easily integrated with PaaS and IaaS to build business applications rapidly.
IBM Cloud (formerly Bluemix) has deployments that fit your needs whether you are a small business that plans to scale, or a large enterprise that requires additional isolation. You can develop in a cloud without borders, where you can connect your private services to the public IBM Cloud services available from IBM. You and your team can access the apps, services, and infrastructure in IBM Cloud and use existing data, systems, processes, PaaS tools, and IaaS tools. Developers can tap into the rapidly growing ecosystem of available services and runtime frameworks to build applications using polyglot programming approaches.
With IBM Cloud, you no longer have to make large investments in hardware to test out or run a new app. Instead, we manage it all for you and only charge for what you use. IBM Cloud provides public, dedicated (https://console.bluemix.net/docs/dedicated/index.html), and local (https://console.bluemix.net/docs/local/index.html) integrated deployment models.
You can take an idea from inception, to development sandbox, to a globally distributed production environment with compute and storage infrastructure, open source platform services and containers, and software services and tools from IBM, Watson, and more. Beyond the capabilities of the platform itself, IBM® Cloud also provides flexible deployment. Provision IBM® Cloud resources on-premises, in dedicated private cloud environments, or in the public cloud, and manage the resources from all three types of environments in a single dashboard.
All IBM cloud resources that are deployed in public and dedicated environments are hosted from your choice of IBM® Cloud Data Center locations around the world. IBM Cloud Data Centers provide regional redundancy, a global network backbone connecting all data centers and points of presence, and stringent security controls and reporting. Through IBM Cloud Data Centers, IBM can meet your most demanding expansion, security, compliance, and data residency needs.
IBM enables you to:
- Deploy high performance compute and storage infrastructure in secure IBM Cloud Data Centers around the world.
- Test and adopt a broad range of cloud services and capabilities from IBM, open source communities, and third-party developers.
- Connect to all of your legacy systems and apps from a single, scalable, cloud platform through private network and API capabilities.
- Spin up and turn down resources in real time as your business needs or workload demands change. Apps
Upcoming events (2)
See all- Network event168 attendees from 110 groups hosting[AI Alliance] Chat with your website using an LLMLink visible for attendees
Abstract
Imagine being able to ask questions about a website in natural language—and receiving meaningful answers instead of simple keyword matches. In this talk, I’ll introduce Allycat, an open-source, end-to-end stack that enables conversational interaction with website content using Large Language Models (LLMs).We’ll walk through the complete pipeline:
- Crawling and indexing website content
- Cleaning and extracting meaningful information from HTML
- Creating embeddings and storing them in a vector database
- Querying the data using an LLM for contextual, accurate responses
We’ll also demonstrate Allycat’s lightweight UI that allows users to interactively test their queries. The entire stack is built with Python and open-source components, making it easy to adopt, adapt, and extend.
You can checkout Allycat here : https://github.com/The-AI-Alliance/allycat
Audience
AI/ML Engineers, Data Engineers, Data Scientists interested in building intelligent, LLM-powered search and chatbot interfaces.Level
Beginner to IntermediateFormat
45-minute presentation with demonstrationAbout the speaker
Sujee Maniyam (AI Engineer, Developer Advocate @ Node51) is an expert in Generative AI, Machine Learning, Deep Learning, Big Data, Distributed Systems, and Cloud technologies. He is passionate about developer education, fostering community engagement. Sujee has led numerous training sessions, hackathons, and workshops. He is also an author, open source contributor and frequent speaker at conferences and meetups.About the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players. - Network event165 attendees from 111 groups hosting[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at ScaleLink visible for attendees
Details
IBM recently released GneissWeb, a large dataset yielding around 10 trillion tokens that caters to the data quality and quantity requirements of training Large Language Models. In this talk i will do a deep dive on the philosophy behind this dataset, where it stands w.r.t the other datasets out there, how to recreate it based on the tools IBM has open sourced and some performance figures with it. This talk will be a followup of the talk given by Shahrokh Daijavad of IBM in the month of March.Prerequisites
This is a follow up to our March 6, 2025 session “Introducing GneissWeb - a state-of-the-art LLM pre-training dataset“:- Check the GitHub show notes
- Re-watch on YouTube
About the presenter
Bishwaranjan Bhattacharjee (LinkedIn), Senior Technical Staff Member and Master Inventor, IBM ResearchAbout the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
![[AI Alliance] Chat with your website using an LLM cover photo](https://secure.meetupstatic.com/photos/event/a/0/4/f/event_527561039.webp "[AI Alliance] Chat with your website using an LLM")
![[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale cover photo](https://secure.meetupstatic.com/photos/event/1/6/7/6/event_527645750.webp "[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale")
Past events (129)
See all- Network event251 attendees from 109 groups hosting[AI Alliance] Introducing gofannonThis event has passed
