Introduction
In the rapidly evolving world of artificial intelligence (AI), companies are constantly striving to develop systems that outperform their predecessors. One such claim was made by Krutrim AI, which stated it could outperform chat GPT in six Indian languages. It boasted of being trained on over two trillion tokens. But when the curtain was lifted, the reality turned out to be quite different.
The Revelation
When Krutrim AI was put to the test, it stumbled. When asked, "Who are you?" it responded, "I'm an artificial intelligence created by ChatGPT". This revelation led to a flurry of questions. Was Krutrim AI, the system designed to supersede chat GPT, in fact, a derivative of ChatGPT itself? The answer, surprising as it may be, is yes. Krutrim AI was not an original creation, but a fine-tuned version of ChatGPT.
Fine-Tuning vs Building from Scratch
In the world of AI, the distinction between fine-tuning an existing model and building one from scratch is significant. Fine-tuning involves making minor adjustments to existing machine learning models to improve their performance or adapt them to new tasks. In contrast, building a model from scratch involves creating a new model, training it on a unique dataset, and devising novel algorithms and architectures. The latter is a much more complex and time-consuming process, which also demands a deep understanding of AI and machine learning.
The Implications of the Revelation
This revelation about Krutrim AI's origins has several implications. It raises questions about the company's claims and the authenticity of their technology. It also highlights the importance of transparency and honesty in the field of AI. While fine-tuning an existing model is a legitimate practice, it is essential to be upfront about the origins of the technology.
Conclusion
In conclusion, the journey of Krutrim AI serves as a reminder of the importance of truthfulness in the world of technology. While fine-tuning is a valid method of improving AI systems, it should not be misrepresented as an original creation. As we continue to push the boundaries of AI, it is essential to remember that transparency and honesty are as important as innovation and progress.