4 posts
Using LLMs to amplify human labeling and improve Dash search relevance When someone uses Dropbox Dash to search or ask a question, it follows a retrieval-augmented generation (RAG) pattern. This means our AI first retrieves relevant company information and then uses that informa…
How low-bit inference enables efficient AI In just the past few years, large machine learning models have made incredible strides. Today’s models are not only remarkably capable but also achieve impressive results across a range of applications, from software engineering and sci…
Half-Quadratic Quantization of large machine learning models Editor's note: We are republishing a blog post from the Mobius team, originally published in 2023, that introduced a now widely used quantization algorithm. We plan to continue this line of work by collaborating with t…
A practical blueprint for evaluating conversational AI at scale LLM applications present a deceptively simple interface: a single text box. But behind that minimalism runs a chain of probabilistic stages, including intent classification, document retrieval, ranking, prompt const…