编辑“Top AI model on December 31”（章节）

== '''Major Developments in AI Throughout 2024''' ==
Several key developments have shaped the AI landscape in 2024. These advancements are not only improving the capabilities of AI models but also influencing how they are being used and integrated into various sectors.

=== '''Model Development and Optimization''' ===

* '''Transfer Learning:''' This technique leverages pre-existing models as a starting point for new tasks, reducing the time and data required to develop accurate models<sup>10</sup>.
* '''Model Optimization:''' Techniques like Low-Rank Adaptation (LoRA) and quantization are making model optimization more accessible<sup>6</sup>. LoRA freezes pre-trained model weights and injects trainable layers, while quantization reduces the precision used to represent model data points<sup>6</sup>. These advancements improve efficiency and reduce computational costs.

=== '''AI Applications in Specific Industries''' ===

* '''Vertical AI Integration:''' AI models are increasingly being tailored for specific sectors like healthcare, finance, and manufacturing<sup>10</sup>. This trend allows for more accurate and efficient solutions within those industries. For example, in the healthcare industry, generative AI is helping to enhance access to care, detect diseases, and assist with product development<sup>11</sup>. Image-based AI models are being utilized as diagnostic tools that can speed up interpretation, leading to earlier disease detection<sup>11</sup>.
* '''AI Agent Assistants in Contact Centers:''' AI is supporting virtual agents by analyzing customer sentiment and providing recommended responses, leading to improved customer service<sup>11</sup>. AI can also take on some of the more tedious tasks agents typically perform, such as summarizing and tagging conversations for historical reference<sup>11</sup>.