Join us for an in person collaboration between our IBM Meetup Boston Community and PyData Boston for a night of in-person networking and expert speakers!
**NOTE: RSVP is REQUIRED to attend**
6:30-7:00 - Networking
7:00-7:45 - Shereen Bellamy (IBM) - Granite LLM Model workshop
7:45-8:15 - Break + Networking
8:15-9:00 - Hack session - Exploring Granite model workflows
9:00-9:30 - Wrap up
Speaker:
Shereen Bellamy (Developer Advocate, IBM)
Hack session:
Organize into groups and work on projects using Granite LLMs (with help from organizers!)

Please fill out the registration form, this will make signing in to the Moderna office much faster. Everyone will get a card with their name + company on it!
🏠 Venue provided by Moderna
🍕 Pizza provided by IBM
This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at [https://pydata.org/code-of-conduct/](https://pydata.org/code-of-conduct/)
This event will not be recorded or streamed.
Please note this event is cross posted with PyData Boston.

Data, Cloud and AI in Boston

shereen

Serge Vilvovsky

pranjul Kulshrestha

96nleksi

Sekhar Duraisamy 

shoko

Maureen Kraft

Qianjin Wu

sarthak patnaik

travislafleur94

Nigel Cooper

Emile Giovannie 

Mengyue

george shen

*CHANGED* IBM Granite LLM workshop with PyData Boston

Moderna HQ

**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](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 Intermediate

**Format**
45-minute presentation with demonstration

**About the speaker**
[Sujee Maniyam](https://sujee.dev/bio-sujee.html) (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](https://thealliance.ai) 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.

Data, Cloud and AI in Barcelona

Fernando Cucci

Jaume Mira

[AI Alliance] Chat with your website using an LLM

Online event

Bluetalks são encontros vibrantes com discussões aprofundadas sobre tecnologia e inovação, apresentando os mais recentes projetos de pesquisa da IBM Research Brasil.

Nesta edição, entenda as vantagens de optar por tecnologias open source para impulsionar a inovação, e como essas soluções podem transformar a maneira como organizações integram IA em seus processos e operações.

Introduziremos os modelos Granite da IBM, soluções avançadas de modelos de linguagem de grande escala (LLMs) desenvolvidas para atender às atuais necessidades das empresas.

Além disso, como caso de uso, navegaremos pela plataforma watsonx, projetada com um sistema integrado e seguro para hospedar, treinar, gerenciar e otimizar estes modelos de IA.

Bluetalks

Larissa Rios

Rodrigo Bandarra

Rian

Marcelo

Flávia Janine Rosante Béo

J. BOSCO Barbosa

loren juliana diaz

Pricila

Andressa Palmieri

Hiago Neder

Fabio Damas

Renata Vallillo

Alan Braz

Maicon Alcântara de Oliveira

Bruno Segantin

Marcelo Costa Curta

Jonilson Pereira

julia fernandes 

Arthur

Gabriel Garcia

Do laboratório ao negócio: desbloqueando o potencial da IA com open source

Register here [https://lu.ma/c1rqyf1f](https://lu.ma/c1rqyf1f)
We’ll close registrations 72 hours prior to the event.
Speakers are from AMD, IBM, Meta (the PyTorch Team), and Red Hat.
Agenda:
​5:00pm: Doors Open

* 5:30pm: Intro to vLLM & Project Update
* 5:50pm: Intro to torch.compile and How It Works with vLLM
* 6:20pm: Demo of Production Deployment of vLLM on AMD
* 6:50pm: Intro to Mamba SSM Architecture

7:10pm: Q&A and Open Discussion
7:30pm: Pizza and Networking 🍕 🤝

IBM Developer New York

Susan Malaika

Rui Li

Ferenc Szalma

Janine

Stan

Jeffrey Chan

Michael Dabbene

Srikanth Kondapaneni

DJ Patel

Christopher Lee

Darshak

d dan

Javits Arias

Asaru Siwazuri

Ritvik Vasantha Kumar

Adeel Arif

Rafaelito Docarmo

Shagun Majotra

Mateusz Staszkow

First NYC vLLM meetup - IBM 1 Madison Avenue - May 7, 2025

IBM 1 Madison Avenue

**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](https://github.com/The-AI-Alliance/community/blob/main/events/office-hours/2025-03-06__gneissweb.md)
* Re-watch on [YouTube](https://www.youtube.com/watch?v=O3Bocouv5hs&list=PLx3IPY60uZ16yyAJZvdOUFJNJv3MU3Rmy&index=2)

**About the presenter**
Bishwaranjan Bhattacharjee ([LinkedIn](https://www.linkedin.com/in/bishwaranjan-bhattacharjee-7460855)), Senior Technical Staff Member and Master Inventor, IBM Research

**About the AI Alliance**
The [AI Alliance](https://thealliance.ai) 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] GneissWeb: Preparing High Quality Data for LLMs at Scale

IBM Community

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