Talk:LLM aided design

Statement on AI Use in Draft Preparation

The content in this article was written by the original author and is not AI-generated. While some portions of the text were improved for clarity and vocabulary using AI-assisted tools, these edits were carefully reviewed to ensure accuracy. No new content, hallucinated facts, or unplanned additions were introduced through AI. The use of AI was limited strictly to very occasional language refinement. Manvi jha13 (talk) 03:26, 19 June 2025 (UTC)

Based on feedback from several reviewers, here is an example of how AI has been used in the context of the article, fully complying with the WP:CHATGPT policy to the best of my understanding. (Once again, the minimal use of AI has been restricted solely to language refinement, and in no case has it been used for text generation, thereby eliminating any possibility of hallucinations. All text in this article has been thoroughly reviewed by the author and cited appropriately where necessary.):

Original text:

LLM aided design refer to the the use of large language models (LLMs) as agents throughout the process of system design including conceptualisation, prototyping, verufying and optimizing. This growing interdisciplinary field merges the advances in natural language processing (NLP), program sythesis and ai reasoning to work in domains such as electronic design automation (EDA), software and hardware engineering and cyber-physical systems.

In contrast to conventional automation tools, LLMs like GPT4, Claude and llama and many domain specialized variants such as codellama or chipgpt have the ability to interpret, genearte and refine sturectured and undtrustured data like natural language specifications, hardware description Languages(HDL) or similar codes, constraint details, tool scripts and design documents. The LLM sided design shows a transfer from tool-assisted engineering to machines-assisted, where the co-design architecture with machine intelligence is used to explore the architecture of the design, perform logic sythesis, formal verification and post-silicon validation. It is situated at the intersection of artificial intelligence, computer-aided design (CAD), and systems engineering.

Prompt to ChatGPT:

Please read the above text and correct any spelling or grammatical errors you can detect. Do not change the context or meaning of the text in any way.

ChatGPT result:

LLM-aided design refers to the use of large language models (LLMs) as intelligent collaborators throughout the end-to-end process of modern system design, including conceptualization, prototyping, verification, and optimization. This emerging interdisciplinary paradigm integrates advances in natural language processing (NLP), program synthesis, and AI-driven reasoning to augment human capabilities in domains such as electronic design automation (EDA), software engineering, hardware design, and cyber-physical systems.

Unlike traditional automation tools, LLMs - especially transformer-based architectures like GPT-4, Claude, LLaMA, and domain-specialized variants such as CodeLlama or ChipGPT - are capable of interpreting, generating, and refining structured and unstructured data including natural language specifications, HDL (Hardware Description Language)/HDL-like code, constraint definitions, tool scripts, and design documentation. LLM-aided design thus represents a shift from tool-assisted engineering to a form of co-design in which machine intelligence participates actively in architectural exploration, logic synthesis, formal verification, and post-silicon validation. Situated at the intersection of artificial intelligence, computer-aided design (CAD), and systems engineering, this field is reshaping the boundaries of human–machine collaboration in design-centric disciplines. Manvi jha13 (talk) 02:00, 20 June 2025 (UTC)