SemiKong: An Open Source Foundation Model for Semiconductor Manufacturing Process

SemiKong: An Open Source Foundation Model for Semiconductor Manufacturing Process

Importance of Semiconductors

Semiconductors are crucial components that power electronic devices and drive progress in various fields like telecommunications, automotive, healthcare, renewable energy, and IoT. Manufacturing semiconductors involves two main stages: FEOL (Front End of Line) and BEOL (Back End of Line), each presenting unique challenges.

Leveraging AI with LLMs

Large Language Models (LLMs) can be trained using extensive text data to gain valuable industry knowledge. They assist in tasks such as:

  • Design Rule Checking
  • Layout Generation
  • Space Exploration in IC Design

LLMs generate new designs that meet specified requirements and enhance performance metrics by learning from vast datasets. However, many existing models lack the specialized knowledge needed for semiconductor-specific tasks.

Improving Semiconductor Manufacturing

AI enhances semiconductor manufacturing through:

  • Better Mask Optimization
  • Hotspot Detection
  • Utilizing Machine Learning and Deep Reinforcement Learning

Domain-specific LLMs like ChipGPT and ChatEDA have shown superior performance in tasks such as code generation and debugging.

Introducing SemiKong

Researchers from Aitomatic Inc., FPT Software AI Center, and Tokyo Electron Ltd have created SemiKong, the first industry-specific LLM for semiconductors. This model focuses on etching problems to offer customized solutions. SemiKong’s training includes:

  • Pretraining and Fine-Tuning
  • Use of High-Quality Datasets

Training Process

The training of the SemiKong model involved:

  1. Pre-training with Llama3 checkpoints for initial industry knowledge.
  2. Supervised fine-tuning to enhance task handling.
  3. Final fine-tuning with quantization for practical application.

Evaluating Performance

The SemiKong model was assessed based on criteria such as:

  • Clarity and Directness
  • Practicality and Immediate Usability
  • Efficiency and Brevity
  • Logical Flow and Coherence
  • Expert-to-Expert Communication
  • Use of Examples and Specificity

Combining pretraining and fine-tuning significantly enhanced performance, with the larger SemiKong 70B model excelling across all criteria.

Future of Semiconductor Industry

In summary, SemiKong provides a powerful solution for integrating LLM technology into the semiconductor industry. While still in its early stages, this work is a foundation for future advancements and has the potential to transform the sector.

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  • Identify Automation Opportunities: Find customer interaction points that can benefit from AI.
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  • Select an AI Solution: Choose tools that fit your needs and allow for customization.
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