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2024年2月18日 · 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 accelerate innovation in the field and make high-performance models for agent tasks more accessible. by Synced 2024-09-11 2.
MIT’s SciAgents: Automating Scientific Discovery with AI-Powered …
2024年9月20日 · SciAgents is built on three foundational concepts: (1) large-scale ontological knowledge graphs that organize and connect diverse scientific ideas, (2) a combination of large language models (LLMs) and advanced data retrieval tools, and (3) multi-agent systems with in-situ learning capabilities. Together, these elements enable the system to ...
Google & CMU’s Semantic Pyramid AutoEncoder Marks the First …
2023年7月11日 · In a new paper SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs, a research team from Google Research and Carnegie Mellon University introduces Semantic Pyramid AutoEncoder (SPACE), the first successful method for enabling frozen LLMs to solve cross-modal tasks.
LSTM Is Back! A Deep Implementation of the Decades-old …
2022年5月10日 · A research team from Rikkyo University and AnyTech Co., Ltd. examines the suitability of different inductive biases for computer vision and proposes Sequencer, an architectural alternative to ViTs that leverages long short-term memory (LSTM) rather than self-attention layers to achieve ViT-competitive performance on long sequence modelling.
From Dense to Dynamic: NVIDIA’s Innovations in Upcycling LLMs …
4 天之前 · In a new paper Upcycling Large Language Models into Mixture of Experts, an NVIDIA research team introduces a new “virtual group” initialization technique to facilitate the transition of dense models into fine-grained MoE structures. They also propose a weight scaling method that delivers a 1.5% improvement in model loss for the upcycled MoE ...
NVIDIA’s Isaac Gym: End-to-End GPU Accelerated Physics …
2021年9月1日 · Deep reinforcement learning (DRL) has become a hot research area in recent years, achieving superhuman performance on sophisticated decision-making problems that range from strategy and computer games to robot training. Despite its success, DRL’s scalability remains impeded by two critical bottlenecks: enormous computational requirements and …
Tencent’s Effidit Significantly Expands the Capabilities of AI Writing ...
2022年8月10日 · In the new paper Effidit: Your AI Writing Assistant, a Tencent AI Lab research team introduces Efficient and Intelligent Editing (Effidit), a digital writing assistant that leverages large-scale neural language models to provide advanced, high-quality text writing assistance in English and Chinese. Effidit significantly expands AI writing ...
Stanford U & Google’s Generative Agents Produce Believable …
2023年4月12日 · In the new paper Generative Agents: Interactive Simulacra of Human Behavior, a team from Stanford University and Google Research presents agents that draw on generative models to simulate both individual and emergent group behaviours that are humanlike and based on their changing experiences and environment. by Synced.
IEEE Publishes Comprehensive Survey of Bottom-Up and Top …
2021年6月10日 · An IEEE team provides a comprehensive overview of the bottom-up and top-down design approaches toward neuromorphic intelligence, highlighting the different levels of granularity present in existing silicon implementations and assessing the benefits of the different circuit design styles in neural processing systems.
Synced Machine Intelligence Awards 2019: ‘The Power of …
2019年11月12日 · Since launching in 2017, the Synced Machine Intelligence Awards have become the largest and most authoritative annual awards platform in the Chinese AI industry, while also attracting attention across the international community.Last year, from close to a thousand submissions, Synced selected 50 AI companies, 30 AI use cases, 30 AI …