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** Important RSVP HERE (Due to limited room capacity, you must pre-register at the link for admission).

Welcome to the AI meetup in London, in collaboration with Nexgen Cloud. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Tech Talk: Scale Data Storage for AI Speaker: Mischa van Kesteren (Nexgen Cloud) Abstract: Training data is essential for Machine Learning, but often its location is an afterthought. In this session we will discuss some key considerations for data storage including the pros and cons of different storage technologies and how scale and lifecycle stage can affect it.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue: Nexgen Cloud, 16 St John’s Lane, London EC1M 4BS

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in London or 350K+ worldwide.

Community on Slack/Discord

  • Event chat: chat and connect with speakers and attendees
  • Sharing blogs, events, job openings, projects collaborations *
AI Meetup (June): Generative AI, LLMs and ML

In this session, I will discuss the unstructured data and the world of vector databases, we will see how they different from traditional databases. In which cases you need one and in which you probably don’t. I will also go over Similarity Search, where do you get vectors from and an example of a Vector Database Architecture. Wrapping up with an overview of Milvus.

unstructured data vector databases similarity search milvus

In this session, we will discuss how to identify high stakes data, and share different ways of refining high-stakes unstructured data into meaningful, actionable data, and leverage the AI, LLMs to detect churn, high quality leads, and map a user's message to a user's journey and fill in the blanks.

unstructured data ai llms

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission)

Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

Tech Talk: Unstructured Data and Vector Databases Speaker: Tim Spann (Zilliz) Abstract: In this session, I will discuss the unstructured data and the world of vector databases, we will see how they different from traditional databases. In which cases you need one and in which you probably don’t. I will also go over Similarity Search, where do you get vectors from and an example of a Vector Database Architecture. Wrapping up with an overview of Milvus.

Tech Talk 2: Unstructured Data Processing Speaker: George Portillo (ChainFuse) Abstract: In this session, we will discuss how to identify high stakes data, and share different ways of refining high-stakes unstructured data into meaningful, actionable data, and leverage the AI, LLMs to detect churn, high quality leads, and map a user's message to a user's journey and fill in the blanks.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 350K+ worldwide.

Community on Slack/Discord

  • Event chat: chat and connect with speakers and attendees
  • Sharing blogs, events, job openings, projects collaborations
AI Meetup (June): GenAI, LLMs and ML

** Important RSVP HERE (Due to room capacity and venue security, it is required to pre-register at the link for admission)

Description: Welcome to the monthly AI meetup in Paris. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda: - 6:30pm\~7:00pm: Checkin\, food and networking - 7:00pm\~9:00pm: Tech talks and Q&A - 9:00pm: Open discussion\, Mixer and Closing.

Tech Talk: Solving Stockholm commuters pain using LLMs with Hopsworks Speaker: Fabio Buso (Hopsworks) Abstract: In this talk we are going to explore how to use the Hopsworks feature store to combine document-based RAG pipelines with real-time structured data from the feature store. We'll do so by building a LLM based application to plan my commute on the Stockholm commuter rail.

Tech Talk: Exploring Polars: A Critical Analysis of the New High-Speed Python Library for Data Analysis Speaker: Thaïs Denoyelle (Datacraft) Abstract: This session focuses on Polars, a Python library gaining attention for its high-speed data analysis capabilities. Through a critical analysis, we'll delve into Polars' architecture, functionalities, and performance, comparing it with established tools like Pandas and Apache Spark. Attendees will gain insights into Polars' features, potential applications, and implications for data-driven industries. Whether you're a data scientist or enthusiast, this session offers an in-depth examination of Polars and its impact on the landscape of data analysis.

Tech Talk: MLOps for video content Speaker: Jean-François Macresy (Videho) Abstract: Video content has multiple particularities. It is heavy, difficult to parse, and multidimensional as it is composed of frames stacked together. This talk will dive into the specificities of manipulating such content in the context of a video ML platform, and how to architect it to be scalable, monitored and easily modifiable.

Topics/Speakers: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue: Datacraft - 3 rue Rossini, 75009 Paris.

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 10,000+ AI developers in Paris or 350K+ worldwide.

Community on Slack/Discord

  • Event chat: chat and connect with speakers and attendees
  • Sharing blogs, events, job openings, projects collaborations
  • Join Slack/Discord (link is at the bottom of the page)
AI meetup (June): AI, LLMs, and MLOps

** Important RSVP HERE (Due to room capacity and venue security, it is required to pre-register at the link for admission)

Description: Welcome to the monthly AI meetup in Paris. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda: - 6:30pm\~7:00pm: Checkin\, food and networking - 7:00pm\~9:00pm: Tech talks and Q&A - 9:00pm: Open discussion\, Mixer and Closing.

Tech Talk: Solving Stockholm commuters pain using LLMs with Hopsworks Speaker: Fabio Buso (Hopsworks) Abstract: In this talk we are going to explore how to use the Hopsworks feature store to combine document-based RAG pipelines with real-time structured data from the feature store. We'll do so by building a LLM based application to plan my commute on the Stockholm commuter rail.

Tech Talk: Exploring Polars: A Critical Analysis of the New High-Speed Python Library for Data Analysis Speaker: Thaïs Denoyelle (Datacraft) Abstract: This session focuses on Polars, a Python library gaining attention for its high-speed data analysis capabilities. Through a critical analysis, we'll delve into Polars' architecture, functionalities, and performance, comparing it with established tools like Pandas and Apache Spark. Attendees will gain insights into Polars' features, potential applications, and implications for data-driven industries. Whether you're a data scientist or enthusiast, this session offers an in-depth examination of Polars and its impact on the landscape of data analysis.

Tech Talk: MLOps for video content Speaker: Jean-François Macresy (Videho) Abstract: Video content has multiple particularities. It is heavy, difficult to parse, and multidimensional as it is composed of frames stacked together. This talk will dive into the specificities of manipulating such content in the context of a video ML platform, and how to architect it to be scalable, monitored and easily modifiable.

Topics/Speakers: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue: Datacraft - 3 rue Rossini, 75009 Paris.

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 10,000+ AI developers in Paris or 350K+ worldwide.

Community on Slack/Discord

  • Event chat: chat and connect with speakers and attendees
  • Sharing blogs, events, job openings, projects collaborations
  • Join Slack/Discord (link is at the bottom of the page)
AI meetup (June): AI, LLMs, and MLOps
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