The Competition Between LLMs and Software Products: A Paradigm Shift in AI
the story evolves…
The rise of large language models (LLMs) like GPT-4, BERT, and others has sparked a significant shift in the way we think about software products.
These models, which can understand, generate, and even manipulate human language, are increasingly being used to power a new generation of applications that challenge traditional software products. As LLMs continue to evolve, the lines between AI-driven solutions and conventional software products are becoming blurred, creating competition in several areas, including functionality, usability, adaptability, and cost.
Let’s review how LLMs are competing with and even replacing traditional software products, the advantages and disadvantages of each, and what this competition means for the future of technology and software development.
The Evolution of LLMs: From Support Tools to Core Applications
Historically, software products were designed to solve specific tasks or address narrowly defined problems. Whether it was managing data in spreadsheets, developing custom code for automation, or running customer relationship management (CRM) platforms, traditional software products were built with rigid rules and structures…
