Phoebe Klett
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.
Phoebe Klett Blog Post on Infinite Context LLMs
Phoebe Klett co-authored a detailed blog post titled 'Infinite Context LLMs: Going Beyond RAG with Extended Minds' on October 24, 2023. The post delves into advanced concepts related to large language models (LLMs) and their potential to extend beyond traditional retrieval-augmented generation (RAG) techniques. It examines how leveraging extended minds can effectively handle infinite context for improved results.
Phoebe Klett Contribution to Explainable Language Models Post
On October 20, 2023, Phoebe Klett contributed to a blog post titled 'Explainable Language Models: Existing and Novel Approaches.' This piece explores the landscape of explainable AI, focusing on the mechanisms and novel methodologies that enhance the transparency and interpretability of language models. The post provides insights into both current practices and innovative approaches in the field.
Phoebe Klett Blog Post on Hallucinations in Large Language Models
Phoebe Klett co-authored a blog post titled 'Eliminating hallucinations (fast!) in Large Language Models with Finite State Machines' on August 4, 2023. This post addresses the challenge of hallucinations in large language models, proposing the use of finite state machines as a method to mitigate and swiftly eliminate such inaccuracies. The discussion highlights the technical underpinnings and practical applications of this approach.