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Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering NeurIPS 2022-09-20 Github - LLM-Aided Visual Reasoning TitleVenueDateCodeDemo GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction arXiv 2023-05-30 Github Demo LayoutGPT: Compositional ...
errors are one of the primary problems faced by users while retrieving response. Question Answering (QA) is a system that addresses these problems. QA model includes three major stages: Natural question language (NQL) processing, document processing, and answer processing (Al-Harbi et al., 2012...
In the proposed solution, the user will use Intel AI Tools to train a model and perform inference leveraging using Intel-optimized libraries for PyTorch. There is also an option to quantize the trained model with Intel® Neural Compressor to speed up inference. ...
“Crafting effective prompts for LLMs is an art. The key lies in keeping them concise and focused. Instead of cramming in multiple questions, ask one clear and specific question at a time. Providing well-defined context and examples (known as shots) can significantly improve a model’s ...
Stage (A) is the first prompt given to the model. This first prompt is meant to provide information whether the sentence is relevant at all for further analysis, i.e., whether it contains the data for the property in question (value and units). This classification is crucial because, even...
context-aware intelligence grows exponentially. But traditional RAG architectures, designed for server-grade infrastructure, falter under the constraints of mobile hardware. This tension raises a critical question: can we adapt RAG to meet the unique demands of mobile environments without compromising its...
2023. [Paper] Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. Izacard et al. 2021. [Paper] Large language models struggle to learn long-tail knowledge. Kandpal et al. 2023. [Paper] Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? AKA ...
LISA: Reasoning Segmentation via Large Language Model [Paper] Xin Lai,Zhuotao Tian,Yukang Chen,Yanwei Li,Yuhui Yuan,Shu Liu,Jiaya Jia LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model [Paper] Senqiao Yang, Tianyuan Qu,Xin Lai,Zhuotao Tian,Bohao Peng,Shu Liu,...
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