IBM Blog delves into the AI trends for 2024, emphasizing model optimization and the democratization of AI technology. Highlights include:
Model Optimization Techniques: Techniques like Low Rank Adaptation (LoRA) and quantization are making AI models more efficient and accessible. These methods reduce the number of parameters and memory needed, speeding up fine-tuning and inference.
Customized AI Models: With advancements in open-source AI models and tools, businesses can develop bespoke AI solutions tailored to specific needs without substantial infrastructure investments. This trend is particularly beneficial in specialized fields like legal, healthcare, and finance.
Local Deployment: Enterprises are increasingly deploying AI models locally to ensure data security and compliance, particularly in sensitive industries. This approach allows for more control over proprietary data and reduces reliance on external cloud services.
