4 articles tagged with "Language Models"
As mechanistic interpretability progresses, the potential for language model agents to assist in circuit explanation is being explored, addressing challenges in understanding localized components.
This analysis investigates how diffusion models could reshape language generation, building on the advancements made by Large Language Models.
A recent study highlights the advantages of compact language models in improving the efficiency and effectiveness of tool agents, emphasizing the need for more than just function calling.
A new diagnostic framework, ToolSense, has been developed to tackle the challenges of tool retrieval in large language models, which are increasingly used as agents.