O que melhor nos representa
O objetivo do Tech Nights é trazer todas as comunidade técnica para a IBM.
Evento presencial (com transmissão ao vivo) com palestras, painéis e networking.
Já tivemos várias edições alinhadas aos temas mensais do Atlas Tecnológico: IA, Automação, Segurança, Quantum, Nuvem Híbrida e Dados, em 3 localidades: São Paulo, Campinas e Rio de Janeiro.
Os palestrantes podem ser IBMistas ou palestrantes convidados, cada palestra dura de 30 a 40 minutos - com tempo para perguntas e respostas seguido de networking.
Entre os mais de 1000 participantes no total de todos os eventos, contamos com a presença de parceiros e clientes como Red Hat, Itaú, Quantum Computing Brasil, MongoDB entre outros. Assim como estudantes, desenvolvedores da comunidade e entusiastas de tecnologia que fizeram de cada noite uma incrível experiência de troca de conhecimento.
Assista às gravações dos eventos anteriores em aqui.
Para ver todos os meetups do grupo acesse: https://www.meetup.com/pro/ibm-community/
Patrocinadores
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IBMResources to learn big data technology. Meetups & training events.
Big Data UniversityFree on-line courses on Hadoop and other big data technologies.- IBMResources to learn big data technology. Meetups & training events.
- Big Data UniversityFree on-line courses on Hadoop and other big data technologies.
- IBMResources to learn big data technology. Meetups & training events.
- Big Data UniversityFree on-line courses on Hadoop and other big data technologies.
Próximos eventos (3)
Ver todos- Evento de rede0 participante de 2 grupos organizando[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materialsLink visível para participantes
External registration
https://44725920.hs-sites.com/ai-alliance-material-chemistry-webinar-51-0———
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
For accelerated inorganic materials design, a framework capable of AI-driven exploration of the vast materials spaces across the periodic table is required. In this talk, I will introduce MatAgent, a generative AI agent for inorganic materials design mimicking the reasoning process of human experts. It combines tool-assisted LLM-driven reasoning for material composition proposals with a generative model for crystal structure estimation and a predictive model for material property prediction, enabling feedback-driven targeted materials generation in an interpretable manner.Speaker
Qianggang Ding, currently completing my Ph.D. in Computer Science at the University of Montreal and Mila, with a focus on topics of AI for Science.Research publication
https://arxiv.org/abs/2410.21317About 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. - Evento de rede247 participantes de 111 grupos organizando[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at ScaleLink visível para participantes
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. - Evento de rede190 participantes de 111 grupos organizando[AI Alliance] Knowledge Graphs for Enterprise AILink visível para participantes
Description
Proscenium is an emerging library of composable glue focused on enterprise AI applications. It prioritizes support for domains where the creation and use of structured data is critical. This talk will walk through the construction an application for the legal domain built with Proscenium that involves:- Document enrichment
- Entity resolution
- Knowledge Graph construction
- Query handling
- Chat integration
Finally, we'll cover the future roadmap and ways that you could contribute!
Speaker Bio
Adam Pingel (LinkedIn, GitHub) is IBM's Head of Open Tools and Applications for the AI Alliance. Adam has been fascinated by AI and chatbots since playing with Racter in the 80’s. But the “winters” were long and frequent. The stars aligned in 2015 when he became VPE at Ravel Law. Ravel was building AI-powered tools for the legal industry and was working with Harvard Law School on what is now known as the Caselaw Access Project. After an acquisition by LexisNexis in 2017, he moved his family to Raleigh (in 2019) to take the role of CTO of Global Platforms. In 2022 he joined IBM to work on domain-specific applications of generative AI. Adam holds an MS and BS in CS from UCLA and Stanford, respectively. When not at a keyboard, he enjoys spending time with his family.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.
![[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materials foto de capa](https://secure.meetupstatic.com/photos/event/4/4/0/4/event_527777412.webp "[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materials")
![[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale foto de capa](https://secure.meetupstatic.com/photos/event/1/6/4/1/event_527645697.webp "[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale")
![[AI Alliance] Knowledge Graphs for Enterprise AI foto de capa](https://secure.meetupstatic.com/photos/event/c/c/5/5/event_527692309.webp "[AI Alliance] Knowledge Graphs for Enterprise AI")
Eventos realizados (205)
Ver todos- Evento de rede244 participantes de 109 grupos organizando[AI Alliance] Chat with your website using an LLMEste evento já aconteceu
