Learn to Build AI Applications - No Code

MindStudio
2 Nov 202364:09

TLDRDimitri Shapir, CEO of M Studio, discusses the future of AI applications and introduces M Studio, a platform for building AI applications without coding. He shares his background in technology and AI, and highlights the capabilities of M Studio, which supports various models like GPT-3 and Claude from Anthropic. Shapir emphasizes the ease of creating AI applications through the platform, even for those without a technical background. He showcases the potential of AI applications in solving personal and business problems, and creating new business opportunities. Shapir also talks about the upcoming hackathon hosted by M Studio, inviting participants to build and submit AI applications for a chance to win prizes. The webinar includes a Q&A session addressing questions about privacy, integration with third-party APIs, and the potential for multilingual AI applications.

Takeaways

  • 👋 Introduction: Dimitri Shapir, CEO of M Studio, has a background at Google and Myspace, and has built multiple venture-backed companies.
  • 💡 Vision: M Studio aims to make AI more accessible by creating an application layer that allows users to interact with AI through user-friendly interfaces without needing to understand complex prompts.
  • 📈 Investment: M Studio has raised $36 million from a variety of investors, including prominent angel investors from companies like Google, Facebook, and Roblox.
  • 🚀 Webinar: The presentation includes a Q&A session and a demonstration of how M Studio's platform works, encouraging audience interaction.
  • 🤖 AI Applications: M Studio enables the creation of AI applications for various purposes, including content generation, process automation, business analytics, and more.
  • 📱 Mobile Accessibility: The platform is designed with mobile in mind, allowing users to create and interact with AI applications on the go.
  • 📈 Growth: M Studio has seen significant growth with thousands of AI applications created by its users, showcasing the demand and potential for AI tools.
  • 🛠️ Customization: Users can customize AI applications to solve specific problems or improve personal and business processes.
  • 💼 Business Opportunities: AI applications built on M Studio can be commercialized, offering subscription-based services to consumers and businesses.
  • 📚 Learning Resources: M Studio provides video tutorials, written documentation, and an AI App Store for users to learn from and remix existing AI applications.
  • ⏰ Timing: The webinar teasers an upcoming hackathon, inviting participants to join and compete in creating innovative AI applications.

Q & A

  • What is the primary role of Dimitri Shapir at M Studio?

    -Dimitri Shapir is the CEO of M Studio, responsible for guiding the company's vision and direction.

  • What is the significance of large language models in the context of AI applications?

    -Large language models are foundational in AI applications, enabling the creation of various tools like chatbots, content generators, and process automation systems without the need for direct coding.

  • How does M Studio facilitate the creation of AI applications for users?

    -M Studio provides an application layer of AI where users can create individual apps for specific tasks without needing to understand the underlying AI models or complex prompting.

  • What are the benefits of using M Studio for creating AI applications?

    -M Studio allows users to create AI applications with user-friendly interfaces, making it accessible for non-technical individuals. It also enables the creation of businesses on top of the platform, solving personal and organizational problems, and offering professional services to others.

  • How does M Studio support the personalization of AI applications?

    -M Studio supports personalization through onboarding wizards that collect information from users during the initial setup, allowing the AI to tailor its responses and functionality to individual users.

  • What are the potential uses for AI applications created with M Studio?

    -AI applications created with M Studio can be used for personal use, shared on social media, embedded in websites, used within enterprises, or even monetized by offering them as paid services.

  • How does M Studio ensure that the AI applications remain user-friendly for those who are not tech-savvy?

    -M Studio abstracts the complexity of AI models and prompts, allowing users to interact with AI applications through intuitive interfaces without requiring technical knowledge.

  • What kind of support does M Studio offer to its users?

    -M Studio offers video tutorials, written documentation, a community on Discord, and live help through intercom for premium tier users. It also provides analytics for AI applications and facilitates subscription charging for monetized apps.

  • How does M Studio handle the privacy and security of user-uploaded documents?

    -M Studio ensures that user-uploaded documents are encrypted and not used to train any models. They are stored in a vector database and used solely for the operation of the specific AI they are uploaded for, with no access given to employees or third parties.

  • What are the different pricing tiers offered by M Studio?

    -M Studio offers a free tier with basic functionality and unlimited users, a pro tier for monetization and premium model access, and a premium tier with advanced analytics and lower transaction fees for monetized AI applications.

  • Is there a plan for M Studio to support mobile app creation or native app wrapping?

    -Currently, M Studio is focused on desktop creation, with no immediate plans for mobile app creation or native app wrapping. However, embedding AI applications in websites and other platforms is supported.

Outlines

00:00

😀 Introduction to M Studio and AI Application Layer

Dimitri Shapir, CEO of M Studio, introduces the webinar and the concept of using AI models as backend services. He discusses his background, the funding of M Studio, and the potential of large language models. Shapir emphasizes the idea of creating user-friendly applications that leverage AI without requiring users to understand complex AI interactions.

05:00

👨‍💼 Becoming an AI Builder with M Studio

The presentation encourages the audience to become AI builders, developers, or prompt engineers using M Studio. It highlights the growth of AI creators and the types of AI applications being built, such as content generators and process automation tools. Shapir discusses the various reasons to build AI applications, including solving personal problems, creating tools as gifts, and establishing businesses based on AI solutions.

10:01

🚀 Learning to Build AIs and Their Applications

Shapir talks about the resources available for learning to build AI applications, including video tutorials, written documentation, and the ability to remix existing AI applications. He also mentions an upcoming hackathon as an opportunity for participants to practice building AIs and potentially win prizes.

15:03

🌐 Exploring M Studio's Features and Model Agnosticism

The webinar provides an overview of M Studio's capabilities, emphasizing its model-agnostic approach, which supports various AI models. It discusses the ability to create personalized AI applications, use vector databases, and the non-requirement of coding skills for AI application development. Shapir also explains how users can upload their data to create AI applications tailored to their specific needs.

20:03

📈 Monetizing AI Applications and Analyzing User Interactions

Shapir explains how users can monetize their AI applications, offering them for free or charging a subscription fee. He also discusses the analytics provided by M Studio, which can help users understand how their AI applications are being used. Additionally, he touches on the possibility of offering live help through intercom for premium users.

25:05

📚 Creating Book AIs and Other Templates in M Studio

The presentation demonstrates how to create a Book AI using M Studio, showcasing the process of uploading a book as a data source and configuring the AI to interact with users based on the book's content. Shapir also mentions other AI templates and the potential applications of these AIs, such as creating support agents, co-pilots, and training bots.

30:06

💰 M Studio's Pricing Tiers and Future Integrations

Shapir outlines the different pricing tiers of M Studio, explaining the features and benefits of each. He addresses the question of whether users need paid accounts with other services to use M Studio and confirms that they do not. He also discusses future plans for integrating third-party APIs and the potential for a mobile app.

35:08

📱 Privacy Concerns and Using AI in Different Languages

The webinar addresses privacy concerns regarding user-submitted data and documents, ensuring that personal data is encrypted and not used for training models. It also confirms that M Studio supports AI applications in multiple languages and discusses the possibility of using websites as data sources in the future.

40:10

📅 Upcoming Webinar, Discord Community, and Hackathon

Shapir invites participants to join the next webinar, engage with the Discord community, and participate in the upcoming hackathon. He emphasizes the support and camaraderie within the M Studio community and encourages users to explore creating AI applications.

Mindmap

Keywords

💡AI Applications

AI Applications refer to software solutions that incorporate artificial intelligence to perform tasks that typically require human intelligence. In the context of the video, AI applications are being built using no-code platforms, which democratizes AI development and allows individuals without a background in coding to create AI tools for various purposes.

💡Large Language Models

Large Language Models are advanced AI systems designed to process and understand human language. They are a core component in creating AI applications for tasks like text generation, translation, and more. The video discusses leveraging these models through user-friendly interfaces without requiring direct interaction from the end-user.

💡Prompt Engineering

Prompt Engineering involves crafting specific instructions or 'prompts' to guide AI systems like chatbots or language models to generate desired responses. The video mentions that while some sophisticated users may engage in prompt engineering, the proposed solution aims to simplify this process for the average user.

💡Backend Services

Backend Services are the underlying technical infrastructure that supports the operation of applications. In the video, it's suggested that complex AI models should operate as backend services, hidden from the end-user, to simplify the interaction with AI applications.

💡AI Builders

AI Builders are individuals who use platforms like M Studio to create AI applications without needing to write code. They are part of a new wave of developers who leverage pre-built AI models to generate specific tools and solutions, as discussed in the video.

💡Foundation Models

Foundation Models are pre-trained AI models that serve as a foundation for building various AI applications. They are used behind the scenes in the video's context to power user-friendly AI applications, abstracting away the complexity from the end-user.

💡Mind Studio

Mind Studio is a platform mentioned in the video that allows users to build AI applications without coding. It provides an interface for creating, editing, and publishing AI applications that can be used for personal or commercial purposes.

💡Vector Databases

Vector Databases are a type of database designed to store and manage data in the form of vectors, which are used in AI applications for tasks like text search and retrieval. In the context of the video, vector databases are utilized to integrate user-uploaded documents into the AI's knowledge base.

💡Remixing

Remixing in the context of the video refers to the ability for users to take an existing AI application, make a copy of it, and then modify it to create a new AI application. This feature promotes learning and innovation by building upon the work of others.

💡Hackathon

A Hackathon is an event where people, often programmers, collaborate intensively on a project within a short time frame. The video mentions an upcoming hackathon hosted by the platform, which is an opportunity for users to build and showcase their AI applications.

💡Embedding AI

Embedding AI refers to the process of integrating AI applications into websites, platforms, or other services. The video discusses the possibility of embedding AI applications created with Mind Studio into personal or business websites to enhance functionality and user experience.

Highlights

Dimitri Shapir, CEO of M Studio, previously worked at Google on machine learning teams and was the CTO of Myspace Music.

M Studio has raised $36 million from a variety of investors, including prominent individuals from Google, Facebook, and Roblox.

Large language models, image diffusion models, and video models are exciting areas for AI application development.

M Studio proposes a solution where AI models act as backend services, not directly interacted with by consumers.

Users can become AI builders, prompt engineers, and creators without needing to understand complex AI models or prompting.

In October, M Studio saw 18,752 new signups for people wanting to become creators.

AI applications created on M Studio can range from content generators to process automation and business analytics tools.

Users can solve personal and business problems by learning to use M Studio to build AI applications.

AI applications can be used to create new business models, offering subscriptions for access to tools.

M Studio provides video tutorials, written documentation, and an AI App Store for users to learn from and remix existing AI applications.

The platform is model-agnostic, supporting major models like OpenAI, Anthropic Claude, and Google Palm.

M Studio allows users to upload their own data for AI applications to utilize, enhancing personalization.

AI applications built on M Studio can be published as web apps, shared, embedded in websites, and even monetized.

The platform provides analytics for AI applications, helping creators understand usage and user interactions.

M Studio is hosting a hackathon, inviting users to build and submit AI applications for a chance to win prizes.

The platform offers different tiers, including a free tier with basic functionality and paid tiers for advanced features and monetization.

Privacy is ensured on M Studio; user-uploaded documents are not used to train models and are encrypted.

M Studio is planning to offer the ability to connect AI tools to other platforms via APIs and to use websites as data sources in the future.

The platform supports building AI applications in multiple languages, not just English.