OpenAI published the GPT-4 Technical Report on 27 Mar 2023. I wanted to read it immediately but was intimidated by the fact that it is a 100-page document. It turns out that it was not as difficult as I anticipated, it can be easily read over a weekend. The best part is that this report describes the key terminologies and methodologies used in the development of GPT-4. It’s always beneficial to obtain this information directly from the source.
Ever since ChatGPT was released to the public last November, I’ve been eager to write a blog about it. However, the daunting prospect of facing a blank screen kept me from starting the task, and I found myself procrastinating. Today, I finally summoned the courage to begin writing, but with a few tweaks from my usual approach. Allow me to describe the meta experiment to understand how I can utilize ChatGPT to help me write the blog.
Over the past few months, ChatGPT has captured my attention through numerous forums, articles and AI experts. I am fascinated by this technology and learning more about it everyday. With this introductory post, I hope to share my knowledge and insights on ChatGPT - how it works, its capabilities and limitations, potential pitfalls, and future prospects. Note - Just for fun, I did an experiment to write two more versions of this post - one that was written by ChatGPT itself using a rough outline I provided, and another also written by ChatGPT, but imrprovised from my original post.
Note - This post is written by ChatGPT expanding on the outline of my original post An Introduction to ChatGPT - section by section. This is a fun exercise to demonstrate the potential of ChatGPT and how it can change how we create content, art and code. You can see the full results of the experiment at Blog about ChatGPT in three different ways. Have you ever heard of ChatGPT? It’s a large language model that has taken the AI world by storm.
Note - This post is written by ChatGPT by rewriting my original post An Introduction to ChatGPT - section by section. This is a fun exercise to demonstrate the potential of ChatGPT and how it can change how we create content, art and code. You can see the full results of the experiment at Blog about ChatGPT in three different ways. As an avid learner and technology enthusiast, I have been following the advancements and discussions surrounding ChatGPT in various forums and sources.
Recently, I started watching the YouTube series Talks at Google and today I came across this video Grit: The Power of Passion and Perseverance by Angela Duckworth, the researcher, author and professor of Psychology at UPenn. I had seen her TED talk earlier and this talk was even better where whe unpacked a lot of details on the concept of grit. This post is to share the key takeaways I got from the talk.
Today I upgraded my blog engine Hugo from version 0.30.0 to 0.73.0. It’s been a while since I upgraded, so I was not sure how easy or difficult it will be. The upgrade completed quickly, but my entire home page (running locally) went blank right after the upgrade. With a good amount of googling, reading through the documentation and a few tweaks in my folder structure, I was able to bring it back up and running and published it.
After a long time, I got the time to tinker with something fun and learn from it, thanks to the week-long break from work. The task at hand is to set up Visual Studio for Mac to compile/run/debug C++ programs. Why, you may wonder - for the past few months, I have been craving to learn something different and I was hooked when I saw the book Data Structures and Algorithms in C++ by Adam Drozdek.
The other day I watched a TED video where the presenter urged the audience to ask the question What do you really want? That got me thinking what do I really want. It is an interesting question to ask myself, since I have tried different roles and responsibilites - broad and deep - in the last couple of years. So I was pleasantly surprised when I found the book Data Structures and Algorithms in C++ by Adam Drozdek on my bookshelf.
One of the challenges of mobile application development is to ensure that the application is resilient to various error responses from the services that are consumed by the application. Mobile devices are more susceptible to network connectivity issues, timeout etc. So we need to take extra care to make sure that we test all error scenarios and handle them in a meaningful manner. What and Why of Mocking Even though we are convinced about the benefits of testing server errors, these services are running in Production serving real customer requests.