The Rise of Generative AI Large Language Models (LLMs) like GPT4, LaMDA, LLaMa and Jurassic-2
Artificial Intelligence (AI) has significantly evolved over the years, with the emergence of Large Language Models (LLMs) such as GPT4, LaMDA, LLaMa, and Jurassic-2. These LLMs have gained immense popularity and are now widely used in the AI world. This article will focus on discussing the rise of LLMs and their impact on various industries.
How LLMs Work and Their Latest Developments
LLMs use vast amounts of data to generate language that is almost human-like. These models use complex algorithms to analyze and understand human language patterns, resulting in the ability to process and create content autonomously. LLMs such as Transformers, which are a critical component of LLMs, originated from Google's research. OpenAI, however, was the first to apply LLMs practically. With the release of their latest model, PaLM2, it remains to be seen if they will overtake ChatGPT.
Diminishing Returns for Increasing Model Size
There is a growing sense of diminishing returns for merely increasing the model size. Research suggests that larger models result in more consumption of planetary resources, such as minerals, energy, and water for cooling. Furthermore, AI training needs large-scale human supervision, which raises the possibility of 'AI sweatshops', leading to serious issues of copyright infringement for artists and creators.
The Impact of LLMs on Employment Opportunities
AI technology is likely to function like larger corporate consulting firms, acting as a "willing executioner," according to author Ted Chiang, accelerating job loss. As companies continue to adopt LLMs for content creation and analysis, it could lead to significant job loss in various industries.
Environmental and Human Costs of Generative AI
LLMs have significant environmental and human costs, with larger models requiring more resources for development and maintenance. The AI technology industry must address these concerns and seek sustainable ways to develop and use LLMs.
Conclusion
LLMs have had a significant impact on AI technology, with their ability to generate human-like language and process vast amounts of data quickly. However, their impact on employment opportunities and the environment must be addressed. It remains to be seen how LLMs will continue to develop and shape the AI industry.
