Large Action Models (LAMs)

As have mentioned in the past, Autonomous AI Agents powered by large language models (LLMs) have recently emerged as a key focus of research, driving the development of concepts like agentic applications, agentic retrieval-augmented generation (RAG), and agentic discovery.

However, according to Salesforce AI Research, the open-source community continues to face significant challenges in building specialised models tailored for these tasks.

A major hurdle is the scarcity of high-quality, agent-specific datasets, coupled with the absence of standardised protocols, which complicates the development process.

To bridge this gap, researchers at Salesforce have introduced xLAM, a series of Large Action Models specifically designed for AI agent tasks.

Read Cobus Greyling’s article HERE.