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README.md

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-__ChipExpert__ is an open-source, instructional LLM dedicated to the semiconductor industry, covering knowledge across multiple sub-domains, including analog circuits, digital circuits, radio frequency (RF), semiconductor devices, electronic design automation (EDA), system-on-chip (SoC), in-memory computing, and more. This model aims to assist students in the IC field to learn fundamental knowledge, engineers to inquire about technical details, and researchers to investigate cutting-edge papers and research topics. The ultimate goal of this model is to help the integrated circuit industry reduce the learning barrier for students and lower the training costs for engineers.
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+   <p><strong><span style="font-size: 24px;">The First Open-Source Integrated-Circuit-Design-Specific Large Language Model．</span></strong></p>
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+__ChipExpert__ is the first open-source, instructional LLM dedicated to the Integrated-Circuit-Design industry, covering knowledge across multiple sub-domains, including analog circuits, digital circuits, radio frequency (RF), semiconductor devices, electronic design automation (EDA), system-on-chip (SoC), computing-in-memory, and more. This model aims to provide teaching assistant services for students in the field of IC to learn fundamental knowledge, engineers to inquire about technical details, and researchers to investigate cutting-edge papers and research topics. The ultimate goal of this model is to help the integrated circuit industry reduce the learning barrier and lower the training costs.
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+## Key Features:
+- The first Large Language Model (LLM) in the IC design field. 
+- A professional corpus covering ten specialized areas of IC design. 
+- Achieves superior performance in both foundational and cutting-edge knowledge compared to general LLMs. 
 
 You can directly experience the capabilities and performance of ChipExpert by accessing [the provided link](http://27.18.114.16:23023). The UI is shown in the figure below.
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   <img src="images/demo.png" alt="" width="1500" height="1500">
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-## Model Details
-- The base model of ChipExpert was built upon the Llama-3 8B Base Model.
-- The training process can be divided into three main phases: Continue Pretraining -> Supervised Fine-Tuning -> Reinforcement Learning with Human Feedback.
-- The continue pretraining data comes from specialized corpora in ten sub-domains of IC design.
-- The majority of the data in the instruction dataset is synthetic data, generated through an innovative multi-agent QA system, ensuring the quantity, quality, and diversity of the data.
-- The professionalism of the responses is enhanced by utilizing innovative AI alignment methods.
-- ChipExpert got benchmarked on the ChipBench dataset which will be released for the community soon!
-- ChipExpert achieves superior performance in both foundational and cutting-edge knowledge in the field of semiconductors compared to mainstream closed-source models.
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 ## Model Description
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