Introducing God's Translator

-
The excitement around Artificial Intelligence (AI) is contagious. Ever Curious Corporation, a startup I co-founded in 2015, was based on AI. A lot has changed since then. One of the most significant technical achievements has been the development of Transformer technology, which enabled the creation of Large Language Models (LLMs) like GPT (Generative Pre-trained Transformer).

I’d like to take a moment to offer a cursory explanation of how LLMs work. 


In simple terms, when you ask an LLM a question, it understands the question using the Transformer model, deep neural networks, and other methods for context, syntax, and semantics. It then responds based on this understanding.


Before LLMs can be useful to humans, they have to be trained. There are three main techniques for training and enhancing the performance of an LLM:


  1. Fine-tuning: This process involves further training a pre-trained LLM on a specific dataset to improve its performance in particular tasks or domains. Humans often review the LLM's outputs and adjust the parameters to enhance accuracy and relevance.


  1. RAG (Retrieval-Augmented Generation): This technique enhances responses by integrating an external database or knowledge base with the LLM. The system retrieves relevant information from the database and uses it to generate more accurate and contextually relevant answers.


  1. Prompt Engineering: This method involves designing and optimizing the prompts given to the LLM to elicit specific types of responses. By adding certain words or phrases to user queries, the LLM can be guided to respond in a desired way.


These three techniques can be used independently or in combination. 



I am curious (and own evercurious.com 🙂) and fortunate to have Laurent Parenteau and Heather Cooper as my friends. We decided to learn more about LLMs by building a product. We built something that would be fun to use with a possibility of increasing social harmony. 


Checkout Godstranslator.com - Ask God anything, anonymously. 


The following are a few frequently asked questions about God’s Translator : 


  1. Why should I use God's Translator instead of ChatGPT? 

    1. It is a more personal and enjoyable experience because: 

      1. All questions are anonymous and no data is stored. 

      2. You get the response in God’s voice. 

      3. We provide responses from all three Abrahamic religions: Christianity, Islam, and Judaism.

      4. We provide hyperlinks to religious texts so you can delve deeper into the answers.


  1. What LLM are you using? 

    1. Meta Llama 3 


  1. How does it work? 

    1. We are using a Python framework with Llama 3 on AWS. Simply, when you type your question on our page webpage ( which is using streamlit), we add a system prompt to the questions and generate a REST API call to our backend where Llama 3 gets the question and returns the response back to the webpage. 


In other words, we are using Prompt Engineering. 


  1. How do you plan to make money? 

    1. We don’t. We built the product to provide people with multiple perspectives on the deeply interesting questions. Our hope is that Godstranslator.com increases religious harmony. 


  1. Why include only three religions in the God’s Translator response? 

    1. Abrahamic religions are interconnected and believe in the same God. Other religions have different ideas of God.



Laurent leads engineering and Heather leads design. Godstranslator.com was created in less than one month of part-time work :) 


What would you like to ask God today? 



Popular posts from this blog

Marry the best who will have you and other wisdom from Munger and Buffett

-
I spent the last weekend in Omaha, Nebraska with two of the my heroes- Charlie Munger and Warren Buffett . After attending the Berkshire Hathaway (BH) for a few years, I still get amazed how a shareholder meeting attracts 40,000+ people and the meeting is about two guys having fun. Everyone else  enjoys watching them have fun. The format is six hours of open Q&A. There is no preparation by Munger and Buffett. Anyone can ask anything about anything expect what BH is going to buy/sell next. You will see it in the notes  that a wide variety of topics are covered. Notes from previous years are available here . The David Sokol issue was covered by Buffett and that part of the meeting has been recorded so I have not covered it in my notes. You can see it here. Munger talked more this year compared to previous years. I just love this man. He is brilliant! Following are my random notes from the meeting: Buffett does two things in his job- 1) keep operating manag...
Read more

Obituary: Charles T. Munger

-
Image
My hero, Charlie Munger , passed away on November 28th, 2023. He was 99 years old.  I met Munger in 2007 at my first Berkshire Hathaway shareholder meeting . It was admiration at first few words. I liked his depth of understanding in multiple domains, his honesty, and his willingness to share his wisdom. Since then I have read all his available writings and seen him many times in Omaha or Los Angeles at various shareholder meetings. He profoundly influenced Warren Buffett and the entire investing and business world. The world has lost a great leader, thinker, and teacher.  Munger's response to my letter      Since meeting Munger, I continue to learn from him and share what I am learning.  Following are a few Munger teachings that have become my habits:  1. Inversion: When you want to solve a problem, start with inverting the problem. For example, if you have to figure out how to keep the airplanes safe, work on figuring out how they can crash...
Read more

Systems Thinking as taught by Ackoff

-
One of my heroes is Dr. Russell Ackoff . I have read a few books he has written and have learned Systems Thinking from him. I am surprised that the field of Systems Thinking is not well understood. Following is my attempt to share what I learned from one of Ackoff's recent lectures. Albert Einstein once said, "You can't solve a problem with the same mind that created it." According to Dr. Russell Ackoff most managers agree with Einstein's statement but not many know what it means. It is easy to agree with something whose meaning is vague. In the Renaissance era, when the science as we know it today was born, a scientific inquiry method called Analysis was developed. Analysis comes naturally to us. Just watch kids breaking new things and being curious about the parts. The understanding of something follows a three step process in analytical thinking: 1. Take it apart 2. Understand (function, role, behavior) what the parts do 3. Assemble the understanding of the pa...
Read more