Welcome to the future, friends! In this exciting workshop, we'll help you understand how AI tools can supercharge your personal and professional lives, banish monotony, and boost efficiency. Our mission is to introduce you to a variety of AI technologies and inspire you to adopt these tools, so you can experience the fantastic compounding returns and enjoy the perks of staying ahead of the technological curve.
Before we dive into the workshop, let's discuss the key paradigms we want you to take away:
- You should Care because preliminary research shows using these tools can increase your speed by nearly 60% while also increasing the quality of work by 15% and it will only get more massive. There is a saying in the world of AI “AI will not replace human workers, Humans who use AI will replace humans who don't” https://www.nngroup.com/articles/chatgpt-productivity/
- AI tools remove monotony and friction from our lives. Imagine having access to a team of experts on demand, ready to answer your questions or assist you with a task. That's the level of convenience and efficiency AI can bring to your life. By harnessing AI technologies, you can automate mundane tasks, streamline processes, and make better-informed decisions.
- Regularly adopting new AI tools (every 2 weeks to a month) will yield compounding returns. This is similar to the benefits of being an early adopter of computers versus those who continued to use typewriters. As you integrate AI technologies into your life and work, the cumulative benefits will compound over time, giving you a competitive edge and enhancing your overall quality of life.
- Given these facts choosing which parts to automate becomes the primary decision vector. Learning to identify what is open to automation and how to find those tools is wildly powerful
With these paradigms in mind, let's explore the world of AI technologies and their applications.
Overview of AI Technologies and Applications [20 minutes]
In this section, we will discuss key AI technologies and their real-world applications. These technologies include Large Language Model’s, Fine Tuning, Autonomous Agents and local models.
Large Language Models, such as GPT-3, have gained significant attention in recent years due to their unparalleled capabilities in understanding and generating human-like text. These models are trained on vast amounts of data, allowing them to grasp complex language patterns and generate contextually relevant responses. We will now explore some of the industries where Large Language Models have made a substantial impact.
Content Creation [2 minutes]
In the realm of content creation, GPT-3 and similar models have proven invaluable for generating high-quality text. They can assist in drafting articles, blog posts, social media updates, and more, enabling creators to produce content more efficiently. Additionally, they can help generate ideas, suggest headlines, and even proofread content, ensuring that creators maintain a consistent and engaging voice.
Customer Support [2 minutes]
Large Language Models have transformed customer support by offering AI-powered chatbots that can understand and respond to customer queries in real-time. This not only reduces response times but also frees up human agents to focus on more complex issues. These AI chatbots can handle a wide range of tasks, from answering frequently asked questions to troubleshooting technical problems, improving overall customer satisfaction.
Language Translation [1 minute]
Language translation is another area where Large Language Models excel. They can accurately translate text between multiple languages, making it possible to communicate seamlessly across borders. These AI-powered translation tools can be used for both personal and professional purposes, such as translating emails, documents, or even entire websites, breaking down language barriers and fostering global collaboration.
In the next part of this section, we will discuss Fine Tuning and its applications in various industries.
Fine Tuning in AI Models [5 minutes]
Fine tuning is an essential process in adapting pre-trained AI models for specific tasks or industries. To understand its importance, let's first take a step back and explore how AI models are trained. The initial training phase of an AI model involves exposure to vast amounts of data, enabling the model to learn and understand language patterns, context, and general knowledge. This initial phase results in the creation of a pre-trained model that can perform various tasks with a certain level of proficiency.
However, to make AI models more useful and relevant for specific tasks or industries, we need to fine-tune them. Fine tuning is the process of training a pre-trained model on a smaller, more specific dataset relevant to the desired task or industry. This additional training allows the model to learn the nuances, jargon, and specific knowledge associated with that task or industry, resulting in a more accurate and efficient model for the intended application.
The importance of fine tuning lies in its ability to customize AI models for specific tasks, making them more valuable and effective for users. By adapting a pre-trained model to a particular domain, fine tuning ensures that the AI model is better suited for the unique challenges and requirements of that domain. This customization allows for increased efficiency, improved user experience, and more accurate results.
In summary, fine tuning is a crucial step in the development of AI models, as it tailors pre-trained models to better serve specific tasks or industries. By refining a model's knowledge and understanding, fine tuning helps unleash the full potential of AI technologies in our personal and professional lives.
Autonomous Agents and Local Models
Autonomous Agents are AI-driven systems that can operate independently, make decisions, and take actions based on their environment. These agents learn from experience and adapt their behavior over time. You may have heard of the two biggest Autogopt, and BabyAGI. These systems use LLM to turn requests into tasks that can be divided out to agents and subagents that leverage AI to accomplish tasks to a limited degree.
Local models, on the other hand, are AI models that run on edge devices, such as smartphones, IoT devices, and drones, allowing them to make decisions without relying on an internet connection. This combination of technologies has significant implications for various fields, including robotics, self-driving cars, and IoT devices. To see how the local model is rapidly changing check out the leaked paper from a google Engineer, “We have no Moat '' about the rabid ability to iterate and improve on small fine tuned models that the open source community has exploded into.
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Hands-on Activity: AI Tool Treasure Hunt [30 minutes]
- Ready for some fun? In this activity, we'll head over to Future Tools.io, a treasure trove of AI tools!
- Each person will have a mission: find the coolest AI tool you can and be prepared to share your discovery with the group.
- After everyone has found their favorite AI tool, we'll gather round and share our awesome discoveries, discussing potential applications and how they can supercharge our lives.
Break [10 minutes]
Time for a well-deserved break! Grab a snack, stretch your legs, and get ready for more AI awesomeness.
Group Presentations and Discussions [20 minutes]
Get everyone back together and have each participant present their chosen AI tool from the treasure hunt activity. We'll discuss the potential applications, pros, cons, and everything in between for each tool.
AI Integration in Personal and Professional Life [15 minutes]
- For this activity I want everyone in the cohort to think about a regular chore: activities tasks that is mentally straining but not interesting or fun that you have to do semi-regularly whether for work or for personal reasons.
- Next I want you to use the techniques we learned in Soul mapping to ask yourself what's specific parts of this process do I dislike and that I wish I didn't have to do
- The last step is working with your cohort to answer the question: if you were a billionaire able to leverage other people at a moment's notice, who would you hire to remove the tedium of the earlier task?
- Realize that with these AI tools dropping the price of intelligence to nearly free you can access nearly expert models like a billionaire accesses experts
- Use these questions to think about how we can integrate AI technologies into our personal or professional lives.
- Share your brilliant ideas with the group - don't be shy!
- Discuss how the magic of AI can offer compounding returns and help you stay ahead of the technology curve.
Glossary
Cyborgs: A cyborg, short for "cybernetic organism," is a being that combines both biological and artificial components. In the context of this workshop, "cyborg" represents the idea of humans augmenting their abilities by integrating AI technologies into their daily lives.
Centaurs: In Greek mythology, a centaur is a creature with the upper body of a human and the lower body of a horse. In the context of AI, the term "centaur" is often used to describe a human-AI partnership where humans and AI work together to enhance their combined abilities, complementing each other's strengths and compensating for each other's weaknesses.
AI: AI, or Artificial Intelligence, refers to the development of computer systems that can perform tasks that would typically require human intelligence. This includes problem-solving, learning, understanding language, and recognizing patterns. AI tools are designed to make our lives easier, more efficient, and help us accomplish tasks faster and more accurately.
Ai.tools
Some examples to think about of how some people are already using these tools
- AI-Powered Robot Bartender" - A personal project where an individual used AI to create a robot bartender that can mix and serve drinks, posted on Twitter.
- "AI-Powered Smart Mirror" - A project where AI was used to create a smart mirror that can display weather, news, and other information, also posted on Twitter.
- "AI-Powered Virtual Stylist" - A project where AI was used to create a virtual stylist that can suggest outfits based on a user's body shape and style preferences, also posted on Twitter.
- "AI-Powered Language Learning App" - A personal project where AI was used to create a language learning app that adapts to the user's learning style, also posted on Twitter.
- "AI-Powered Recipe Generator" - A project where AI was used to generate recipes based on a user's dietary restrictions and ingredients on hand, posted on YouTube.
- "AI-Powered Stock Trading Bot" - A personal project where AI was used to create a bot that can automatically trade stocks based on market trends, also posted on Twitter.
- "AI-Powered Art Generator" - A project where AI was used to generate unique pieces of art, posted on YouTube.
- "AI-Powered Personal Shopping Assistant" - A project where AI was used to create a personal shopping assistant that suggests products based on a user's preferences and budget, also posted on Twitter.
- "AI-Powered Music Composer" - A personal project where AI was used to compose music based on a user's input, also posted on Twitter.
- "AI-Powered Home Security System" - A project where AI was used to create a home security system that can detect and alert the user of potential threats, posted on YouTube.