Recent advancements in large language models (LLMs) have generated enthusiasm about their potential to accelerate scientific innovation. Many studies have proposed research agents that can ...
A Salesforce AI Research team presents the xLAM series, a collection of large action models designed to enhance the performance of open-source LLMs for autonomous AI agents. This work aims to ...
A Salesforce AI Research team presents the xLAM series, a collection of large action models designed to enhance the performance of open-source LLMs for autonomous AI agents. This work aims to ...
Autonomous agents powered by large language models (LLMs) have garnered considerable research attention. However, the open-source community faces significant hurdles in developing specialized models ...
Recent advancements in large language models (LLMs) have enabled the creation of sophisticated agentic systems that utilize tools and APIs to answer user queries through function calling. However, ...
In a new paper A Generalist Learner for Multifaceted Medical Image Interpretation, a research team proposes MedVersa, a generalist AI model designed to enable flexible learning and tasking for medical ...
The rapid progress of large language models (LLMs) has greatly influenced natural language processing (NLP), driving advancements across numerous applications. However, LLM training is typically ...
In a new paper Diffusion Models Are Real-Time Game Engines, a Google research team presents GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with ...
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