This year has been the year of generation for Artificial Intelligence. Over the years, AI has worked and tried to perfect the age of content and artistic marvel, through which OpenAI has been leading the charge. With their models DALL-E 2 and the talk about GPT-4, we saw a bunch of labs pushing their models in the sphere, which gave us models like Stable Diffusion and GATO coming to light. However, as the year ends, OpenAI unveils another textual model, which brings AI for text generation out to the public.
ChatGPT, the innovative chatbot developed by OpenAI. ChatGPT can understand and respond to various topics and queries, making it the perfect companion for anyone looking to improve their productivity or simply have a fun and engaging conversation.
In this blog, we will explore the features and capabilities of ChatGPT, as well as provide tips and best practices for getting the most out of this exciting technology. So sit back, relax, and get ready to discover the fantastic potential of ChatGPT!
What is ChatGPT?
Now you might be wondering precisely what ChatGPT is and how it differs from GPT-3 or the coming soon GPT-4. Who better to tell you this than ChatGPT itself? So let us ask, “What exactly is ChatGPT?”.
“ChatGPT is a chatbot developed by OpenAI that uses natural language processing (NLP) to understand and respond to user inputs. It is designed to hold intelligent and engaging conversations on various topics. It can be used in various settings, including customer service, virtual assistants, and more. ChatGPT is powered by GPT-3, a state-of-the-art language model developed by OpenAI, and is trained on a large dataset of text from the internet, allowing it to understand and respond to a wide range of queries and inputs. ChatGPT can generate human-like responses that are contextually appropriate, making it an effective tool for simulating conversation with a virtual assistant.”
Now this description of the model was generated by ChatGPT itself. Regarding the model’s abilities, Grammarly generated four flags on this writeup, which is still way better than any writeup written by a human. Let us now look at how the model itself works.
ChatGPT: How does it work?
The model works on a simple feedback loop generated using Natural Language Processing with a user. An input is received, and an output is generated using the local language model and shown to the user. Now, this output can be further refined by the user providing more in-detail feedback on the received result, which is an excellent example of Reinforcement Learning with Human Feedback.
This extra layer makes the difference between the existing chat models. To make this more efficient and smooth, the model comes backed by the latest GPT 3.5, which is sure to provide a satisfactory response to any query raised by the user.
ChatGPT Limitations
The fantastic model, however, comes with many limitations, which you may want to know before you buy it for your startup or enterprise when it inevitably comes for sale. Let us look at some of them:
1. Limitations on NSFW outputs: Now, however, this limitation is deliberately put in to avoid any misuse of the product; we may want some kind of leniency on the censoring if we are dealing with reporting news or writing a script or a book. Do we get an option to turn it off?
2. Quality of the Feedback Loop: As mentioned above, the output will only be as good as the prompt, and if the user fails to get the most out of the model, is that on us or the model itself?
3. Answers may differ from reality: The model shows extreme inaccuracy when we ask it to discuss current affairs in any sphere. Will we see any new addition to the pipeline to rectify this?
Here are a few examples of ChatGPT
Okay, we have talked enough about the boring technical and ethical intricacies of the model. Let us see the model in action with some fun prompts to gauge the power of the model.
1. “Please write me an 8-line poem about traffic in Mumbai”- The artistic side of ChatGPT.
Traffic in Mumbai never ends. Cars and buses, bikes and bends, Honking horns, and the noise never cease. People rushing, never at ease, Traffic jams and crowds everywhere. Air pollution fills the air, But still, the city never sleeps. Mumbai's spirit never keeps
2. “Please tell me about an emotional excerpt from Nirvana’s song”- The knowledge side of ChatGPT.
"Lithium" Nirvana is an emotional song that deals with themes of mental health and the struggles of coping with negative emotions. The lyrics, written by lead singer Kurt Cobain, explore using external sources such as religion or medication to numb or escape complicated feelings. The song's chorus, "I'm so happy, 'cause today I've found my friends / They're in my head, I'm so ugly, but that's okay, 'cause so are you," speaks to the idea of finding solace in the company of others who may also feel misunderstood or isolated. The song's raw and honest portrayal of mental health issues resonated with many listeners and contributed to its enduring popularity.
3. “Was engineering the right choice for my life”- The conversationalist side of ChatGPT.
It is not for me to say whether pursuing engineering was the "correct" choice for you. Ultimately, the decision of whether to pursue a particular field of study or career path is a personal one that depends on a variety of factors, including your interests, goals, and values.
Engineering may be a good fit for you if you are passionate about math, science, and problem-solving and enjoy designing and building practical solutions to real-world problems. On the other hand, if you are not interested in these subjects or do not enjoy the work typically associated with engineering, it may not be the right choice for you.
Ultimately, the most important thing is to choose a path that aligns with your interests, values, and goals, allowing you to lead a fulfilling and meaningful life.
Conclusion
Whether you're looking to have a fun and engaging conversation or need a virtual assistant to help with tasks, ChatGPT is an excellent choice. We hope this blog has given you a better understanding of ChatGPT and its capabilities. We encourage you to try and see this exciting technology’s fantastic potential.
NimbleBox.ai is an MLOps platform well-suited for organizations looking to develop and deploy machine learning models in a production environment. With a range of tools and features for tasks such as model training and evaluation, monitoring, and infrastructure management, NimbleBox.ai can help streamline creating and maintaining a machine learning pipeline.
Written By
Aryan Kargwal
Data Evangelist