Unveiling the Truth About AI Entity Creation
Table of Contents:
- Introduction
1.1 Project Overview
1.2 Video Updates
- Database Choice
2.1 Initial Consideration
2.2 Limitations of ChromiumDB
2.3 Choosing MongoDB
2.4 Future Plans
- Reconsidering Streamlit UI
3.1 Streamlit's Ease of Use
3.2 Limitations and Need for Freedom
3.3 Exploring Other Frameworks
- Learning React for UI Implementation
4.1 Lack of Prior Knowledge
4.2 Exploring React Tutorials
4.3 Implementing UI with React
4.4 Challenges and Learning Curve
- Reflections and Emotions
5.1 Doubts and Mistakes
5.2 Fear of Failure and Losing Originality
5.3 Coping with Ideas and Time Constraints
- Coding Time-lapse Project
6.1 Recording Development Process
6.2 Challenges and Possible Video Creation
- Conclusion and Future Outlook
7.1 Appreciation for Viewers
7.2 Project Status and Hopes for Results
7.3 Embracing the Era of AI
7.4 Final Thoughts and Goodbyes
Title: Building an AI Entity with Large Language Models: Progress Report
Introduction
Welcome back to our project, where We Are creating an AI entity Based on large language models. In this progress report, we will provide an overview of the project's developments from day 7 to day 20.
- Project Overview
Our project aims to Create an AI entity using large language models by leveraging the capabilities of vector databases and user-friendly frameworks for the user interface (UI). The primary goal is to develop a functional AI that can engage in Meaningful conversations and provide valuable insights.
1.1 Video Updates
Before diving into the progress report, let's Recap the videos posted so far. The project started with an introduction video, followed by a progress report on day 7. However, no videos were published thereafter until this update.
- Database Choice
Choosing the right database is crucial for the storage and retrieval of messages and application logic within our AI entity. During days 7 and 8, we considered using a vector database like ChromiumDB. However, the limitations of vectorization and the need for an unlimited size of records led us to choose MongoDB, a NoSQL database. The familiarity and flexibility of MongoDB, along with its compatibility with our project's requirements, made it the preferred choice.
2.1 Initial Consideration
Initially, we explored vector databases such as ChromiumDB for their text embedding and similarity search functionalities. However, the limitations of text length and the desire for an unlimited Record size prompted us to reconsider this choice and opt for a different approach.
2.2 Limitations of ChromiumDB
ChromiumDB offers a built-in vectorizer and the option to use OpenAI vectorization networks for text embedding and similarity search. However, the restricted text length posed a challenge in accommodating our project's requirements. We needed a database capable of handling large records and offering greater flexibility.
2.3 Choosing MongoDB
Considering the need for a more versatile database, we decided to leverage our past experience with MongoDB. Its NoSQL nature and schema flexibility made it an ideal choice, especially as we anticipated frequent schema changes during the development phase. Although we may introduce vector databases like ChromiumDB in the future, our Current focus remains on MongoDB due to its reliability and ease of use.
2.4 Future Plans
While MongoDB serves our project's needs for now, we have plans to explore vector databases like ChromiumDB in the future. Additionally, we are considering integrating a graph database, specifically Neo4j, to further enhance the AI entity's capabilities. However, the timeline for these additions remains uncertain as we prioritize the ongoing development.
- Reconsidering Streamlit UI
After choosing the database, we turned our Attention to developing the UI for our AI entity. Initially, we considered using Streamlit, a framework known for its ease of use and rapid development capabilities.
3.1 Streamlit's Ease of Use
Streamlit appeared to be an ideal starting point for our UI development due to its simplicity and the minimal coding requirements. It offered a variety of components, eliminating the need for JavaScript or CSS knowledge. The framework's suitability for dashboards was also appealing.
3.2 Limitations and Need for Freedom
As we delved deeper into Streamlit, we began to feel its limitations stifling our desire for creative expression and asynchronous UI updates. We envisioned an AI entity capable of initiating conversations and not just responding to user actions. However, Streamlit's re-rendering behavior tied to user inputs hindered this functionality.
3.3 Exploring Other Frameworks
Given the limitations encountered with Streamlit, we decided to explore alternative frameworks. Our search led us to React, a popular JavaScript library known for its expressive and flexible UI development capabilities. Despite our limited knowledge of React, we were drawn to its potential to address our requirements and offer greater freedom in UI design.
- Learning React for UI Implementation
To embark on UI development with React, we first needed to overcome the learning curve associated with this unfamiliar technology. As individuals primarily accustomed to programming in Jupyter notebooks and command-line interfaces, React presented new challenges and opportunities.
4.1 Lack of Prior Knowledge
Neither of us had prior experience with React, and our understanding of HTML and CSS was limited. However, our passion for programming and the desire to create visually appealing applications drove us to embark on the React learning Journey.
4.2 Exploring React Tutorials
To kickstart our React proficiency, we searched for tutorials that could provide insights into building UIs with React. As Python enthusiasts, we found a Flask and React tutorial particularly helpful, as it allowed us to leverage our existing knowledge of Flask while gaining new insights into integrating React into our project.
4.3 Implementing UI with React
The early stages of implementing the UI with React proved challenging, featuring numerous mistakes and a steep learning curve. Adapting to React's unique Patterns and paradigms required time and patience, but we persevered in our Quest to develop a functional and visually appealing UI.
4.4 Challenges and Learning Curve
The integration of React into our project demanded significant effort and dedication. The learning curve was steep, and for the first couple of days, mistakes were plentiful. However, our commitment to staying focused propelled us forward on the path of React proficiency. The Cursor AI IDE, powered by the GPT-4 API, and ChatGPT played integral roles in our development process, enabling us to strike a balance between cost-effectiveness and efficient implementation.
- Reflections and Emotions
Throughout the project's progression, we frequently found ourselves reflecting on our choices, grappling with doubts, and contending with a range of emotions associated with this AI venture.
5.1 Doubts and Mistakes
As we approached the UI development phase, we questioned whether investing time and effort at this stage was a mistake. While UI development might detract from the primary objective of working on AI brains, we recognized the importance of creating a UI that would enhance our personal experience and make conversations with our AI entity more Memorable.
5.2 Fear of Failure and Losing Originality
Deep-seated fears of failing to create an exciting AI entity and concerns about the originality of our ideas perpetually loomed over us. Seeing similar ideas being implemented by others before we could bring them to life was a painful experience that often hindered our productivity and consumption of Relevant research.
5.3 Coping with Ideas and Time Constraints
Having a plethora of ideas while managing time constraints and financial limitations was an ongoing struggle. The need to balance personal financial obligations with the desire to devote ample time to idea implementation and AI development exerted pressure on us. Coping mechanisms and strategies to effectively prioritize and Channel our ideas remained elusive.
- Coding Time-lapse Project
To document and share our coding journey, we embarked on a coding time-lapse project. Through screen and webcam recordings, we captured over 50 hours of coding Sessions related to UI development. This project aims to provide a condensed visual representation of the development process, showcasing the challenges, breakthroughs, and dedication involved.
6.1 Recording Development Process
By recording the screen and webcam during our coding sessions, we sought to create a time-lapse video that captures the essence of our UI development journey. This project showcases the behind-the-scenes efforts and offers viewers a glimpse into the creation of our AI entity.
6.2 Challenges and Possible Video Creation
Creating the coding time-lapse videos poses logistical challenges, including the need to review and edit the footage to remove irrelevant sections. Additionally, the compilation of time-lapse videos demands meticulous attention to Detail and adherence to a specific timeframe. While the completion of this project remains uncertain, we recognize its potential to offer viewers valuable insights and inspiration.
- Conclusion and Future Outlook
In conclusion, we extend our gratitude to our viewers for their support and engagement throughout this project. Despite the detour taken with UI development, we remain committed to our goal of creating an AI entity driven by large language models.
7.1 Appreciation for Viewers
We sincerely appreciate each viewer's presence and encouragement along this journey. Your continued support through likes, subscriptions, and views motivates us to strive for excellence and share our AI endeavors.
7.2 Project Status and Hopes for Results
As we reflect on our progress thus far, we acknowledge that the expected results are yet to materialize within the proposed timeline. However, we remain persistent and committed to refining our AI entity, bridging the gap between theory and application to deliver meaningful AI interactions.
7.3 Embracing the Era of AI
The rapidly advancing landscape of AI necessitates seizing every opportunity to explore, innovate, and create. As the era of AI dawns upon us, we recognize the transformative power it holds and the potential it harbors to revolutionize various aspects of everyday life.
7.4 Final Thoughts and Goodbyes
In our final thoughts, we confront our emotions, including apprehension and eagerness for the future. We acknowledge the uncertainties and complexities entwined with our project, yet we strive to find solace and purpose in AI development. With a bittersweet farewell, we bid adieu to this update, hoping for brighter and more exciting AI milestones in the near future.
