talk-data.com

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02ZG_nL0

Speaker#1: Lavi Nigam, ML Engineering, DevRel at Google Cloud

Talk#1: Function Calling, Structured Output and Agents with Vertex Gemini

This session explores how Vertex Gemini empowers developers to build advanced applications with its powerful function calling, structured output, and agent capabilities. Learn how to integrate external APIs, generate complex data structures, and create intelligent agents that interact with the world. Through real-world examples and code demonstrations, we'll showcase how Gemini can be used to streamline workflows, automate tasks, and unlock new possibilities in AI development.

Speaker#2: Pascal Vantrepote, Sr. Director, Partner Innovation at Confluent

Talk#2 - "Leveraging LLMs for SQL Query Automation and Real-Time Data Streaming with Cardinal Health Sonexus, Google Cloud Vertex AI, and Confluent"

In this breakout session, we will explore how to harness the power of Large Language Models (LLMs) to automate SQL query generation and seamlessly stream results into Confluent using Vertex AI. This session will offer an in-depth exploration of how to integrate advanced AI models into data pipelines, facilitating real-time analytics and decision-making in healthcare. Attendees will learn how to leverage LLMs to simplify SQL query creation, enhance data processing workflows, and utilize Vertex AI for scalable and efficient machine learning operations. Join us to discover innovative ways to optimize your data infrastructure and drive actionable insights with cutting-edge AI and data streaming technologies.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02ZG_nL0

Speaker#1: Lavi Nigam, ML Engineering, DevRel at Google Cloud

Talk#1: Function Calling, Structured Output and Agents with Vertex Gemini

This session explores how Vertex Gemini empowers developers to build advanced applications with its powerful function calling, structured output, and agent capabilities. Learn how to integrate external APIs, generate complex data structures, and create intelligent agents that interact with the world. Through real-world examples and code demonstrations, we'll showcase how Gemini can be used to streamline workflows, automate tasks, and unlock new possibilities in AI development.

Speaker#2: Pascal Vantrepote, Sr. Director, Partner Innovation at Confluent

Talk#2 - "Leveraging LLMs for SQL Query Automation and Real-Time Data Streaming with Cardinal Health Sonexus, Google Cloud Vertex AI, and Confluent"

In this breakout session, we will explore how to harness the power of Large Language Models (LLMs) to automate SQL query generation and seamlessly stream results into Confluent using Vertex AI. This session will offer an in-depth exploration of how to integrate advanced AI models into data pipelines, facilitating real-time analytics and decision-making in healthcare. Attendees will learn how to leverage LLMs to simplify SQL query creation, enhance data processing workflows, and utilize Vertex AI for scalable and efficient machine learning operations. Join us to discover innovative ways to optimize your data infrastructure and drive actionable insights with cutting-edge AI and data streaming technologies.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02ZG_nL0

Speaker#1: Lavi Nigam, ML Engineering, DevRel at Google Cloud

Talk#1: Function Calling, Structured Output and Agents with Vertex Gemini

This session explores how Vertex Gemini empowers developers to build advanced applications with its powerful function calling, structured output, and agent capabilities. Learn how to integrate external APIs, generate complex data structures, and create intelligent agents that interact with the world. Through real-world examples and code demonstrations, we'll showcase how Gemini can be used to streamline workflows, automate tasks, and unlock new possibilities in AI development.

Speaker#2: Pascal Vantrepote, Sr. Director, Partner Innovation at Confluent

Talk#2 - "Leveraging LLMs for SQL Query Automation and Real-Time Data Streaming with Cardinal Health Sonexus, Google Cloud Vertex AI, and Confluent"

In this breakout session, we will explore how to harness the power of Large Language Models (LLMs) to automate SQL query generation and seamlessly stream results into Confluent using Vertex AI. This session will offer an in-depth exploration of how to integrate advanced AI models into data pipelines, facilitating real-time analytics and decision-making in healthcare. Attendees will learn how to leverage LLMs to simplify SQL query creation, enhance data processing workflows, and utilize Vertex AI for scalable and efficient machine learning operations. Join us to discover innovative ways to optimize your data infrastructure and drive actionable insights with cutting-edge AI and data streaming technologies.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02ZG_nL0

Speaker#1: Lavi Nigam, ML Engineering, DevRel at Google Cloud

Talk#1: Function Calling, Structured Output and Agents with Vertex Gemini

This session explores how Vertex Gemini empowers developers to build advanced applications with its powerful function calling, structured output, and agent capabilities. Learn how to integrate external APIs, generate complex data structures, and create intelligent agents that interact with the world. Through real-world examples and code demonstrations, we'll showcase how Gemini can be used to streamline workflows, automate tasks, and unlock new possibilities in AI development.

Speaker#2: Pascal Vantrepote, Sr. Director, Partner Innovation at Confluent

Talk#2 - "Leveraging LLMs for SQL Query Automation and Real-Time Data Streaming with Cardinal Health Sonexus, Google Cloud Vertex AI, and Confluent"

In this breakout session, we will explore how to harness the power of Large Language Models (LLMs) to automate SQL query generation and seamlessly stream results into Confluent using Vertex AI. This session will offer an in-depth exploration of how to integrate advanced AI models into data pipelines, facilitating real-time analytics and decision-making in healthcare. Attendees will learn how to leverage LLMs to simplify SQL query creation, enhance data processing workflows, and utilize Vertex AI for scalable and efficient machine learning operations. Join us to discover innovative ways to optimize your data infrastructure and drive actionable insights with cutting-edge AI and data streaming technologies.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02ZG_nL0

Speaker#1: Lavi Nigam, ML Engineering, DevRel at Google Cloud

Talk#1: Function Calling, Structured Output and Agents with Vertex Gemini

This session explores how Vertex Gemini empowers developers to build advanced applications with its powerful function calling, structured output, and agent capabilities. Learn how to integrate external APIs, generate complex data structures, and create intelligent agents that interact with the world. Through real-world examples and code demonstrations, we'll showcase how Gemini can be used to streamline workflows, automate tasks, and unlock new possibilities in AI development.

Speaker#2: Pascal Vantrepote, Sr. Director, Partner Innovation at Confluent

Talk#2 - "Leveraging LLMs for SQL Query Automation and Real-Time Data Streaming with Cardinal Health Sonexus, Google Cloud Vertex AI, and Confluent"

In this breakout session, we will explore how to harness the power of Large Language Models (LLMs) to automate SQL query generation and seamlessly stream results into Confluent using Vertex AI. This session will offer an in-depth exploration of how to integrate advanced AI models into data pipelines, facilitating real-time analytics and decision-making in healthcare. Attendees will learn how to leverage LLMs to simplify SQL query creation, enhance data processing workflows, and utilize Vertex AI for scalable and efficient machine learning operations. Join us to discover innovative ways to optimize your data infrastructure and drive actionable insights with cutting-edge AI and data streaming technologies.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02ZG_nL0

Speaker#1: Lavi Nigam, ML Engineering, DevRel at Google Cloud

Talk#1: Function Calling, Structured Output and Agents with Vertex Gemini

This session explores how Vertex Gemini empowers developers to build advanced applications with its powerful function calling, structured output, and agent capabilities. Learn how to integrate external APIs, generate complex data structures, and create intelligent agents that interact with the world. Through real-world examples and code demonstrations, we'll showcase how Gemini can be used to streamline workflows, automate tasks, and unlock new possibilities in AI development.

Speaker#2: Pascal Vantrepote, Sr. Director, Partner Innovation at Confluent

Talk#2 - "Leveraging LLMs for SQL Query Automation and Real-Time Data Streaming with Cardinal Health Sonexus, Google Cloud Vertex AI, and Confluent"

In this breakout session, we will explore how to harness the power of Large Language Models (LLMs) to automate SQL query generation and seamlessly stream results into Confluent using Vertex AI. This session will offer an in-depth exploration of how to integrate advanced AI models into data pipelines, facilitating real-time analytics and decision-making in healthcare. Attendees will learn how to leverage LLMs to simplify SQL query creation, enhance data processing workflows, and utilize Vertex AI for scalable and efficient machine learning operations. Join us to discover innovative ways to optimize your data infrastructure and drive actionable insights with cutting-edge AI and data streaming technologies.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02NhwLy0

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02NhwLy0

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02NhwLy0

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02NhwLy0

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02NhwLy0

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02NhwLy0

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Important: RSVP here to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

All sessions:

• Jul 17th: Session 1, RSVP.
• Jul 31st: Session 2, RSVP.
• Aug 14th: Session 3, RSVP.
• Aug 28th: Session 4, RSVP.
• Sep 12th: Session 5, RSVP.

Tech Talk: Async, Concurrency, and Batching: The Vertex AI LLMOps Trinity Speaker: Lavi Nigam (Google) Abstract: In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

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 AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide.

AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Important: RSVP here to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

All sessions:

• Jul 17th: Session 1, RSVP.
• Jul 31st: Session 2, RSVP.
• Aug 14th: Session 3, RSVP.
• Aug 28th: Session 4, RSVP.
• Sep 12th: Session 5, RSVP.

Tech Talk: Building Multimodal Question-Answering (RAG) system with Gemini Speaker: Lavi Nigam (Google) Abstract: In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

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 AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide.

AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

Important: RSVP here to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

All sessions:

• Jul 17th: Session 1, RSVP.
• Jul 31st: Session 2, RSVP.
• Aug 14th: Session 3, RSVP.
• Aug 28th: Session 4, RSVP.
• Sep 12th: Session 5, RSVP.

Tech Talk: Building Multimodal Question-Answering (RAG) system with Gemini Speaker: Lavi Nigam (Google) Abstract: In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

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 AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide.

AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

Important: RSVP here to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

All sessions:

• Jul 17th: Session 1, RSVP.
• Jul 31st: Session 2, RSVP.
• Aug 14th: Session 3, RSVP.
• Aug 28th: Session 4, RSVP.
• Sep 12th: Session 5, RSVP.

Tech Talk: Building Multimodal Question-Answering (RAG) system with Gemini Speaker: Lavi Nigam (Google) Abstract: In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

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 AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide.

AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations