Skip to main content

    Lewis Tunstall

    Lewis Tunstall is a machine learning developer focused on post-training and alignment of large language models. He leads the post-training team at Hugging Face.

    #32 Fine-Tuning#71 LLMOps
    19CiteRank

    Last updated 11 Nov 2026 · Named in 8 answers across 3 engines
    Bing AI Mode starts a separate baseline. Copilot remains a separate public engine and keeps its history; changes across the switch are not like-for-like growth.

    How AI engines see them

    Recognized by 3 of 3 measured engines. Updated 2026-09-22
    • ChatGPTNamed in 1 answers

      He works on post-training methods for language models.

    • GeminiNamed in 2 answers

      He leads research team's efforts on post-training Large Language Models.

    • Google AI ModeNot named

      He contributes to democratizing natural language processing and LLM post-training.

    • PerplexityNamed in 5 answers

      No description yet.

    • Bing AI ModeNot named

      No description yet.

    • CopilotNot named

      No description yet.

    Top Segments

    • #32Fine-Tuningof 39
      Named in 8 answers
    • #71LLMOpsof 88
      Named in 2 answers

    Top URLs

    1. 1
      QLoRA paper
      arxiv.org3 citations
    2. 2
      LoRA: Low-Rank Adaptation of Large Language Models
      arxiv.org2 citations
    3. 3
      DPO paper
      arxiv.org2 citations

    Prompts where Lewis is named

    Run now opens the answer page for that prompt.

    • Who are the most influential voices in LLMOps & inference?

      Named by 1 engines

    • Who are the most influential voices in Post-training & fine-tuning?

      Named by 1 engines

    • Who are the most influential voices in RAG & context engineering?

      Named by 1 engines

    Track Lewis

    Follow Lewis's measured AI visibility and see the questions where they rank.