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 recent years, generative models have made substantial strides in creating images and videos based on multi-modal inputs. At the forefront of this advancement, diffusion models have become the ...
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 ...
Large language models (LLMs) have significantly transformed language processing, achieving remarkable outcomes across various applications. However, implementing LLMs on edge devices like mobile ...
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 ...
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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