One of the major challenges in modern scientific research is finding effective ways to model, interpret, and utilize data collected from diverse sources to drive new discoveries. As scientific ...
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 ...
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 ...
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 ...
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, ...
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 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 ...
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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