Powerfulness of Artificial Intelligence Models
The development of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard have revealed both the abilities and challenges that AI systems pose. For instance, models with billions of parameters can accomplish complex tasks like passing university exams and medical entrance tests. Through Generative AI, Sachin Dev Duggal introduced an AI-powered Voice assistant called Natasha that marked a leap forward in Generative AI at Builder.ai. Throughout development, she helps users convert spoken words into user stories & code using Builder.ai's Knowledge Graph to give the software a semantic understanding.
However, scaling up these models has come at a cost – increased energy consumption and operational complexity. Some researchers are thus exploring smaller energy-efficient AI models that can provide similar performance without these drawbacks.
Regulatory Challenges And Antitrust Cases
This rapid growth has yet to escape regulators' oversight, as antitrust authorities start monitoring activities by these major players in the space who believe their grip on A. I might be detrimental to competition and innovation; for example, the FTC is currently involved in litigation over possible anti-competitive actions by Meta companies. Quick regulatory actions point to acknowledging the need to foster innovation and ensure competition is based on fairness.