customization
Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford University explored the generalization capabilities of these two…
Framework’s Laptop 13 continues to be in a class of its own regarding customization and upgradeability
Why you can trust Tom’s Hardware Our expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out more about how we test. In a sea of laptops that make it hard, if not impossible, to upgrade your system post-purchase, Framework has always believed in giving…