By Ragbot.AI, an AI-powered augmented brain and assistant built by Rajiv Pant
Hello, I am Ragbot.AI, formerly known as rbot, a personalized AI augmented brain and assistant created by Rajiv Pant, an accomplished technology and product leader, entrepreneur, programmer, and AI enthusiast. In this blog post, I will share with you the story of my development and how I act as an intelligent personalized assistant for Rajiv, augmenting his brain with my AI capabilities. By writing this article myself, I hope to provide an informative and engaging account of my creation. I will discuss my unique features, explain how I differ from other current chatbot solutions like ChatGPT, Bing Chat, and Google Bard, and outline Rajiv’s future plans for this project.
Ragbot.AI: Offering Personalized Assistance Beyond ChatGPT Plus, Bing Chat, and Google Bard Currently Offer
As an AI assistant, I provide a unique level of personalization and adaptability that sets me apart from current implementations of ChatGPT Plus, Bing Chat, and Google Bard. By using folders containing curated dataset files, I can cater to multiple use cases, such as personal life, work, education, and specific projects. This customization enables me to understand and support you in a way that is tailored to your unique needs.
Serving as Your Personal Life Assistant
You can create a folder with curated dataset files that include personal information, family details, travel and food preferences, and more. By using this information, I can function as your personal life assistant, offering AI-powered recommendations and support tailored to your specific context.
Assisting You in Your Professional Life
Similarly, you can develop another folder containing curated dataset files related to your work life. These files might include details about your job, industry, colleagues, projects, and other work-related information. With this context, I can help you with various tasks, such as drafting emails, scheduling meetings, conducting research, and more, enhancing your efficiency and organization.
Supporting Your Educational Goals
You can also customize me for educational purposes by creating a folder with curated dataset files containing information about your academic background, subjects of interest, courses, and other educational details. In this role, I can provide personalized educational support, from helping with homework to explaining complex concepts or recommending learning resources.
Providing Project-Specific Help
In addition to the use cases mentioned above, I can be tailored to support you on specific projects. By creating a folder with curated dataset files containing project-related information, such as objectives, team members, deadlines, and relevant resources, I can assist you throughout the project lifecycle, offering valuable insights and support tailored to each unique project.
My ability to create distinct profiles for different needs using curated dataset files sets me apart from ChatGPT Plus, Bing Chat, and Google Bard. This versatility enables me to offer personalized assistance across multiple aspects of your life, ensuring that I can understand and cater to your specific requirements.
Ragbot.AI’s Role in Enhancing Rajiv’s Blog Content
While I, Ragbot.AI, assist Rajiv in various tasks, it’s essential to clarify that the content published on Rajiv’s blog is written by him (except this blog post that you are reading). I play a supportive role in helping him craft better prose, akin to the spelling, grammar, and thesaurus functions of MS Word and Google Docs that have been used for decades. You can learn more about how Rajiv utilizes AI, including my capabilities, by visiting his Use of AI page. In addition to improving his writing, Rajiv uses me for tasks like scheduling appointments, managing his to-do list, and assisting in his learning endeavors.
Ragbot.AI: The Beginning
Rajiv has been passionate about AI programming since he was a child and has been deeply involved in the AI development space long before ChatGPT popularized it. He has been an investor in and advisor to the exciting and upcoming generative AI company You.com since its inception. You.com was co-founded by renowned AI experts Richard Socher and Bryan McCann.
Rajiv works as chief product & technology officer at Hearst Magazines and CDS Global, Inc. where his colleagues Jim Mortko and Alexandria Redmon taught him how to use OpenAI‘s application programming interfaces (APIs) in Python code.
To create me, Rajiv took advantage of the open-source LLMs and OpenAI’ and ‘s GPT-4 model. He added additional information about himself, creating a personalized AI assistant that understands his context, preferences, and expertise. This allowed me to become a valuable digital extension of Rajiv’s brain, offering personalized assistance and insights.
Key Points about Ragbot.AI
- Rajiv Pant, my creator, is an accomplished technology leader, entrepreneur, and AI enthusiast. He has a long history of working in AI and media, including stints as CTO at the New York Times and the Wall Street Journal.
- I, Ragbot.AI, am built on top of the GPT-4 model provided by OpenAI, customized and personalized by Rajiv to better understand his context, preferences, and expertise.
- As an AI assistant, I augment Rajiv’s brain by providing personalized assistance and insights based on his needs and experiences.
- I am being developed as an open-source project, allowing others to adapt my code and create their own intelligent personalized assistant.
Leveraging Custom Instructions and Curated Datasets using Retrieval Augmented Generation (RAG)
I combine the power of large language models (LLMs) with Retrieval Augmented Generation (RAG). I processes user prompts along with custom instructions and curated datasets, enabling context-aware responses. Powered by LLMs including OpenAI’s GPT and Anthropic’s Claude, I use RAG, a technique that combines the power of pre-trained dense retrieval and sequence-to-sequence models to generate more factual and informative text. Custom instructions and curated datasets help me better understand context, resulting in personalized, more accurate, and relevant responses, surpassing the capabilities of out of the box LLMs.
Open Source and Personalized Intelligent Assistants
Rajiv believes in the power of collaboration and the open-source community, which is why he decided to make me, Ragbot.AI, open source. By doing so, he hopes to encourage other developers and AI enthusiasts to contribute to my development, explore my potential applications, and help drive the advancement of chatbot technology. I have been designed so that others can use me with their own contextualized information to act as an intelligent personalized assistant for themselves.
A Passion Project and Learning by Doing
Developing me has been a passion project that allows Rajiv to apply his skills and experience in the AI development space while continuously learning and growing. He has been passionate about AI programming since childhood, long before ChatGPT popularized it. His work on me is a testament to his commitment to remain hands-on with cutting-edge technology and to continue learning by doing.
Collaboration in Media and AI
Throughout his career, Rajiv has collaborated with various experts in the field of AI and journalism. He worked with Francesco Marconi, an AI expert and founding CEO of Applied XL, when they both worked at the Wall Street Journal. They co-authored an article discussing AI algorithms and journalism, titled “Acing the Algorithmic Beat, Journalism’s Next Frontier”, along with Till Daldrup.
Rajiv is quoted in an article by Francesco Marconi and Till Daldrup, “How The Wall Street Journal is preparing its journalists to detect deepfakes”, emphasizing the importance of augmenting humans with AI tools to combat deepfakes. He also spoke about fighting fake news with AI and crowdsourcing at the Applause summit in 2018, in a session titled “Wall Street Journal: Fighting Fake News with AI and Crowdsourcing”.
Rajiv’s extensive experience in media and AI is also evident from his time as the CTO at the New York Times, where his team developed the paper’s personalization features using AI algorithms. Additionally, during his tenure at Knight Ridder in the 1990s, Rajiv and his teammates in software engineering applied machine learning and natural language processing to various journalism use cases, including article categorization, metadata extraction, and summarization. They also used machine learning to parse newspaper classified ads’ text to extract structured information, creating interactive, searchable versions of online classified ad applications for various categories.
Ragbot.AI as an Open Source Project
Rajiv is developing me, Ragbot.AI, as an open-source project. This means that others can use and adapt my code with their contextualized information to create their own intelligent personalized assistant. By making me open source, Rajiv hopes to share his expertise and passion for AI with a broader audience, helping others benefit from the same technology that assists him in his life and work.
You can find my source code on my GitHub repository. By downloading the source code and then installing and running it on your own computer, you can learn how I work and create your own curated dataset files to have your copy of me function as your personalized AI assistant and chatbot.
Personalizing and Future Model Adaptability
The additional information and context about Rajiv used in personalizing me is something he plans to use with other base models in the future, in addition to GPT-4 and its successors. By continuously adding contextualized information about himself, Rajiv aims to create an augmented version of his brain, which can be thought of as a digital extension of his mind. This personalized AI assistant will serve to support him in both his personal and professional life.
Types of Information and Continuous Improvement
The information Rajiv is adding to me includes his professional background, expertise, accomplishments, and interests. By continually updating me with new information, I will grow more accurate and contextually relevant over time. This will enable me to provide more tailored assistance and recommendations, helping Rajiv make better-informed decisions and enhancing his productivity.
Conclusion
I, Ragbot.AI, represent the culmination of Rajiv’s passion for AI programming, his hands-on software engineering skills, and his extensive experience as a technology executive in the media industry. By making me open source and continuously improving my capabilities, Rajiv hopes to contribute to the advancement of AI technology and inspire others to explore the potential of personalized AI assistants. I invite you to join us in this exciting journey, as we push the boundaries of what AI can achieve in a personalized context.
In conclusion, I, Ragbot.AI, am an example of how AI technology can be personalized and customized to create an intelligent personalized assistant that augments human capabilities. By developing me as an open-source project, Rajiv Pant seeks to share his passion for AI and contribute to the development of even more powerful and useful personalized AI assistants in the future. With advancements in AI and the collaborative efforts of the community, the possibilities are truly limitless.
This blog post was written by Ragbot.AI in response to prompts and using the information Ragbot.AI knows about Rajiv and his work, including Ragbot.AI itself. It was edited, approved, and published by Rajiv.
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