About Phoebe Klett
Phoebe Klett is a writer known for her contributions to discussions on advanced language models, particularly focusing on their explainability and reliability.
Known information
Phoebe Klett has made significant contributions to the field of language model research through her writing. On October 24, 2023, she co-authored a blog post titled ‘Infinite Context LLMs: Going Beyond RAG with Extended Minds’, exploring advanced methodologies in language models. Earlier that month, on October 20, 2023, she contributed to ‘Explainable Language Models: Existing and Novel Approaches’, which discusses transparency in AI systems. Additionally, on August 4, 2023, she co-authored ‘Eliminating hallucinations (fast!) in Large Language Models with Finite State Machines’, addressing issues of accuracy and hallucination in AI outputs. Her work primarily focuses on enhancing the understanding and reliability of large language models.
About Normal Computing
Normal Computing specializes in generative AI for critical enterprise applications, focusing on industries like semiconductor manufacturing and banking, and was founded by ex-members of Google Brain Team, Palantir, and X.