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  • Large Language Models (LLMs) - MIT HAN Lab
    Explore the latest advancement in TinyChat and AWQ – the integration of Visual Language Models (VLM) on the edge! The exciting advancements in VLM allows LLMs to comprehend visual inputs, enabling seamless image understanding tasks like caption generation, question answering, and more
  • Large language models use a surprisingly simple mechanism to . . . - MIT News
    Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects Researchers from MIT and elsewhere found that complex large language machine-learning models use a simple mechanism to retrieve stored knowledge when they respond to a user prompt
  • Will Large Language Models Really Change How Work Is Done?
    Large language models (LLMs) are a paradigm-changing innovation in data science They extend the capabilities of machine learning models to generating relevant text and images in response to a wide array of qualitative prompts
  • AI System Architecture and Large Language Model Applications
    In this dynamic four-day course, led by renowned AI expert David Martinez, you’ll explore every stage of the AI system architecture building process—from data input to insights These stages, or “building blocks,” support the key processing pipeline in the design of large language models (LLMs)
  • GitHub - mit-han-lab streaming-llm: [ICLR 2024] Efficient Streaming . . .
    Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses two major challenges Firstly, during the decoding stage, caching previous tokens' Key and Value states (KV) consumes extensive memory
  • The Limitations of Large Language Models for Understanding . . . - MIT Press
    Researchers have recently argued that the capabilities of Large Language Models (LLMs) can provide new insights into longstanding debates about the role of learning and or innateness in the development and evolution of human language
  • Open House: AI System Architecture LLM Applications
    AI System Architecture and Large Language Model Applications is a five-day, live virtual course taught by MIT Lincoln Lab fellow David Martinez Participants will deepen their understanding of AI architecture and gain hands-on experience with the tools, skills, and strategies that are integral to successfully deploying LLMs





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