You made a great video but where are your viewers and subscribers, because I know you are not increasing the number of viewers and subscribers because of not doing SEO for your videos. Can we discuss this in more detail?
Event Summary Generated by AI. Meeting notes: Introduction and Background: George Soto introduced Deep Learning Youth Ventures, highlighting their community engagement and the various events and projects they have conducted over the past four years. He mentioned their RUclips page and the generative AI sessions they have started. Introduction: George Soto, cofounder of Deep Learning Youth Ventures, introduced the organization, emphasizing its mission to engage community members globally. He mentioned the organization has been active for four years, conducting around 120 sessions, including hands-on projects and guest speaker events. Community Engagement: George highlighted the organization's efforts to engage the community through various events, including hackathons and courses from Deep Learning AI. He mentioned the latest event where David presented on Lama Index, with plans for a deeper dive into the topic. Online Presence: George mentioned their presence on Meetup and RUclips, where they have started a new playlist focused on generative AI sessions. He encouraged new members to check out these resources for more information. Upcoming Events: George Soto and Speaker 1 discussed upcoming events, including a generative AI session and a World Bank event focused on data analysis and coding skills. They emphasized the importance of these events for practicing coding and data analysis skills. Generative AI Session: Speaker 1 mentioned an upcoming generative AI session following the current event. This session is part of their ongoing efforts to explore and educate on generative AI technologies. World Bank Event: Speaker 1 provided details about the World Bank event, scheduled for the next day from 12:00 PM to 8:00 PM. The event will cover various topics, including poverty, environment, and climate, and will involve data analysis and coding practice. Participation Encouragement: Speaker 1 encouraged participants to join the World Bank event, highlighting that coding skills are not a prerequisite. Participants can volunteer, join teams, or contribute based on their strengths, making it accessible to a wide audience. World Bank Event Details: Speaker 1 provided details about the World Bank event, mentioning the various sessions on topics like poverty, environment, and climate. They encouraged participants to join and practice their coding skills. Event Sessions: Speaker 1 detailed the sessions at the World Bank event, which will cover topics such as poverty, environment, climate, and more. These sessions aim to provide practical experience in data analysis and coding. Participation Options: Speaker 1 explained that participants do not need to know how to code to join the event. They can volunteer, join teams, or contribute in other ways, making the event inclusive for all skill levels. Technical Resource: Artificial Analysis AI: Speaker 1 introduced a resource called artificialanalysis.ai, which helps users compare different generative AI models based on performance metrics like quality, speed, and price. They explained how this resource can be utilized in various environments. Resource Introduction: Speaker 1 introduced artificialanalysis.ai, a resource designed to help users compare various generative AI models. The comparison is based on performance metrics such as quality, speed, and price. Utilization: Speaker 1 explained that the resource can be used in different environments, whether in a company or a private setting, to take advantage of generative AI services and features effectively. Microsoft 365 Copilot Overview: Speaker 1 demonstrated the Microsoft 365 Copilot, explaining how it integrates with various Microsoft products like SharePoint, Teams, PowerPoint, and Outlook. They showed how Copilot can assist with tasks like preparing for meetings and summarizing information. Integration with Products: Speaker 1 demonstrated how Microsoft 365 Copilot integrates with products like SharePoint, Teams, PowerPoint, and Outlook. This integration allows users to perform tasks such as preparing for meetings and summarizing information efficiently. Copilot Features: Speaker 1 highlighted features of Copilot, including its ability to access work information, prepare for meetings, stay informed about updates, and improve writing. These features enhance productivity and streamline workflows. Copilot Interface: Speaker 1 showed the user interface of Microsoft 365 Copilot, explaining how users can interact with it to access emails, meetings, chat calendars, and contacts. The interface is designed to be user-friendly and comprehensive. Microsoft Graph and Knowledge Base: Speaker 1 explained the concept of Microsoft Graph, which stores information from various Microsoft applications. They discussed how generative AI services can use this knowledge base to provide better services to users. Microsoft Graph: Speaker 1 explained that Microsoft Graph is a knowledge base that stores information from various Microsoft applications, including emails, meetings, chat calendars, and contacts. This centralized storage allows for efficient data retrieval and usage. Generative AI Services: Speaker 1 discussed how generative AI services can leverage Microsoft Graph to provide enhanced services. By accessing the knowledge base, AI can offer more accurate and contextually relevant responses to user queries. Copilot in Excel: Speaker 1 demonstrated how to use Copilot in Excel to analyze data. They showed how to format data as a table and interact with Copilot to perform tasks like calculating formulas and creating charts. Data Formatting: Speaker 1 demonstrated the importance of formatting data as a table in Excel to ensure Copilot can effectively analyze it. This step is crucial for enabling Copilot to understand and interact with the data. Copilot Interaction: Speaker 1 showed how users can interact with Copilot in Excel to perform various tasks, such as calculating formulas, creating charts, and analyzing data. This interaction simplifies complex data analysis tasks. Data Analysis: Speaker 1 attempted to analyze a large dataset using Copilot in Excel. Despite some technical challenges, the demonstration highlighted Copilot's capabilities in handling and analyzing extensive data sets. Copilot in Word: Speaker 1 demonstrated how to use Copilot in Word to draft and edit documents. They showed how to use prompts to generate content and iteratively refine it. Content Generation: Speaker 1 demonstrated how to use Copilot in Word to generate content based on prompts. This feature allows users to quickly draft documents by providing initial content that can be further refined. Iterative Refinement: Speaker 1 showed how users can iteratively refine the generated content in Word using Copilot. This process involves making adjustments and improvements to the draft until it meets the desired quality and tone. Copilot in PowerPoint: Speaker 1 demonstrated how to use Copilot in PowerPoint to create presentations. They showed how to generate slides based on a prompt and customize the presentation using design options. Slide Generation: Speaker 1 demonstrated how to use Copilot in PowerPoint to generate slides based on a prompt. This feature helps users quickly create a structured presentation with relevant content. Customization: Speaker 1 showed how to customize the generated slides using design options in PowerPoint. This allows users to tailor the presentation to their specific needs and preferences, enhancing its visual appeal and effectiveness. Copilot Studio Overview: Speaker 1 introduced Copilot Studio, explaining how it allows users to extend the capabilities of Copilot with low code or no code solutions. They discussed the pricing and features of Copilot Studio. Introduction: Speaker 1 introduced Copilot Studio, a platform that allows users to extend Copilot's capabilities using low code or no code solutions. This flexibility enables users to customize and enhance their AI interactions. Pricing: Speaker 1 discussed the pricing of Copilot Studio, which is $200 per month for 25,000 messages. This pricing model provides a cost-effective solution for businesses looking to integrate advanced AI capabilities. Features: Speaker 1 highlighted the features of Copilot Studio, including the ability to create custom agents, integrate with various data sources, and deploy AI solutions across different channels. Creating an Agent in Copilot Studio: Speaker 1 demonstrated how to create an agent in Copilot Studio using a public website as a knowledge source. They showed how to customize the agent's responses and integrate it with various channels like Slack and Microsoft Teams. Customizing Copilot for Specific Use Cases: Speaker 1 shared an example of how they customized Copilot for their company, a real estate association. They configured it to retrieve information from their company website and multiple PDF files, demonstrating the flexibility of Copilot Studio.
You made a great video but where are your viewers and subscribers, because I know you are not increasing the number of viewers and subscribers because of not doing SEO for your videos. Can we discuss this in more detail?
Event Summary Generated by AI.
Meeting notes:
Introduction and Background: George Soto introduced Deep Learning Youth Ventures, highlighting their community engagement and the various events and projects they have conducted over the past four years. He mentioned their RUclips page and the generative AI sessions they have started.
Introduction: George Soto, cofounder of Deep Learning Youth Ventures, introduced the organization, emphasizing its mission to engage community members globally. He mentioned the organization has been active for four years, conducting around 120 sessions, including hands-on projects and guest speaker events.
Community Engagement: George highlighted the organization's efforts to engage the community through various events, including hackathons and courses from Deep Learning AI. He mentioned the latest event where David presented on Lama Index, with plans for a deeper dive into the topic.
Online Presence: George mentioned their presence on Meetup and RUclips, where they have started a new playlist focused on generative AI sessions. He encouraged new members to check out these resources for more information.
Upcoming Events: George Soto and Speaker 1 discussed upcoming events, including a generative AI session and a World Bank event focused on data analysis and coding skills. They emphasized the importance of these events for practicing coding and data analysis skills.
Generative AI Session: Speaker 1 mentioned an upcoming generative AI session following the current event. This session is part of their ongoing efforts to explore and educate on generative AI technologies.
World Bank Event: Speaker 1 provided details about the World Bank event, scheduled for the next day from 12:00 PM to 8:00 PM. The event will cover various topics, including poverty, environment, and climate, and will involve data analysis and coding practice.
Participation Encouragement: Speaker 1 encouraged participants to join the World Bank event, highlighting that coding skills are not a prerequisite. Participants can volunteer, join teams, or contribute based on their strengths, making it accessible to a wide audience.
World Bank Event Details: Speaker 1 provided details about the World Bank event, mentioning the various sessions on topics like poverty, environment, and climate. They encouraged participants to join and practice their coding skills.
Event Sessions: Speaker 1 detailed the sessions at the World Bank event, which will cover topics such as poverty, environment, climate, and more. These sessions aim to provide practical experience in data analysis and coding.
Participation Options: Speaker 1 explained that participants do not need to know how to code to join the event. They can volunteer, join teams, or contribute in other ways, making the event inclusive for all skill levels.
Technical Resource: Artificial Analysis AI: Speaker 1 introduced a resource called artificialanalysis.ai, which helps users compare different generative AI models based on performance metrics like quality, speed, and price. They explained how this resource can be utilized in various environments.
Resource Introduction: Speaker 1 introduced artificialanalysis.ai, a resource designed to help users compare various generative AI models. The comparison is based on performance metrics such as quality, speed, and price.
Utilization: Speaker 1 explained that the resource can be used in different environments, whether in a company or a private setting, to take advantage of generative AI services and features effectively.
Microsoft 365 Copilot Overview: Speaker 1 demonstrated the Microsoft 365 Copilot, explaining how it integrates with various Microsoft products like SharePoint, Teams, PowerPoint, and Outlook. They showed how Copilot can assist with tasks like preparing for meetings and summarizing information.
Integration with Products: Speaker 1 demonstrated how Microsoft 365 Copilot integrates with products like SharePoint, Teams, PowerPoint, and Outlook. This integration allows users to perform tasks such as preparing for meetings and summarizing information efficiently.
Copilot Features: Speaker 1 highlighted features of Copilot, including its ability to access work information, prepare for meetings, stay informed about updates, and improve writing. These features enhance productivity and streamline workflows.
Copilot Interface: Speaker 1 showed the user interface of Microsoft 365 Copilot, explaining how users can interact with it to access emails, meetings, chat calendars, and contacts. The interface is designed to be user-friendly and comprehensive.
Microsoft Graph and Knowledge Base: Speaker 1 explained the concept of Microsoft Graph, which stores information from various Microsoft applications. They discussed how generative AI services can use this knowledge base to provide better services to users.
Microsoft Graph: Speaker 1 explained that Microsoft Graph is a knowledge base that stores information from various Microsoft applications, including emails, meetings, chat calendars, and contacts. This centralized storage allows for efficient data retrieval and usage.
Generative AI Services: Speaker 1 discussed how generative AI services can leverage Microsoft Graph to provide enhanced services. By accessing the knowledge base, AI can offer more accurate and contextually relevant responses to user queries.
Copilot in Excel: Speaker 1 demonstrated how to use Copilot in Excel to analyze data. They showed how to format data as a table and interact with Copilot to perform tasks like calculating formulas and creating charts.
Data Formatting: Speaker 1 demonstrated the importance of formatting data as a table in Excel to ensure Copilot can effectively analyze it. This step is crucial for enabling Copilot to understand and interact with the data.
Copilot Interaction: Speaker 1 showed how users can interact with Copilot in Excel to perform various tasks, such as calculating formulas, creating charts, and analyzing data. This interaction simplifies complex data analysis tasks.
Data Analysis: Speaker 1 attempted to analyze a large dataset using Copilot in Excel. Despite some technical challenges, the demonstration highlighted Copilot's capabilities in handling and analyzing extensive data sets.
Copilot in Word: Speaker 1 demonstrated how to use Copilot in Word to draft and edit documents. They showed how to use prompts to generate content and iteratively refine it.
Content Generation: Speaker 1 demonstrated how to use Copilot in Word to generate content based on prompts. This feature allows users to quickly draft documents by providing initial content that can be further refined.
Iterative Refinement: Speaker 1 showed how users can iteratively refine the generated content in Word using Copilot. This process involves making adjustments and improvements to the draft until it meets the desired quality and tone.
Copilot in PowerPoint: Speaker 1 demonstrated how to use Copilot in PowerPoint to create presentations. They showed how to generate slides based on a prompt and customize the presentation using design options.
Slide Generation: Speaker 1 demonstrated how to use Copilot in PowerPoint to generate slides based on a prompt. This feature helps users quickly create a structured presentation with relevant content.
Customization: Speaker 1 showed how to customize the generated slides using design options in PowerPoint. This allows users to tailor the presentation to their specific needs and preferences, enhancing its visual appeal and effectiveness.
Copilot Studio Overview: Speaker 1 introduced Copilot Studio, explaining how it allows users to extend the capabilities of Copilot with low code or no code solutions. They discussed the pricing and features of Copilot Studio.
Introduction: Speaker 1 introduced Copilot Studio, a platform that allows users to extend Copilot's capabilities using low code or no code solutions. This flexibility enables users to customize and enhance their AI interactions.
Pricing: Speaker 1 discussed the pricing of Copilot Studio, which is $200 per month for 25,000 messages. This pricing model provides a cost-effective solution for businesses looking to integrate advanced AI capabilities.
Features: Speaker 1 highlighted the features of Copilot Studio, including the ability to create custom agents, integrate with various data sources, and deploy AI solutions across different channels.
Creating an Agent in Copilot Studio: Speaker 1 demonstrated how to create an agent in Copilot Studio using a public website as a knowledge source. They showed how to customize the agent's responses and integrate it with various channels like Slack and Microsoft Teams.
Customizing Copilot for Specific Use Cases: Speaker 1 shared an example of how they customized Copilot for their company, a real estate association. They configured it to retrieve information from their company website and multiple PDF files, demonstrating the flexibility of Copilot Studio.