In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large
language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-…

Recurrent neural networks have been very successful at predicting sequences of words in
tasks such as language modeling. However, all such models are based on the conventional …

… Hakan Inan Hakan Inan is a postdoctoral research fellow at the Canary Cancer Early
Detection Center at the Medicine Faculty, Stanford University. He is working on microfluidics and …

Genetically encoded voltage indicators (GEVIs) are emerging optical tools for acquiring
brain-wide cell-type-specific functional data at unparalleled temporal resolution. To broaden the …

In motor neuroscience, state changes are hypothesized to time-lock neural assemblies
coordinating complex movements, but evidence for this remains slender. We tested whether a …

We introduce Llama Guard, an LLM-based input-output safeguard model geared towards
Human-AI conversation use cases. Our model incorporates a safety risk taxonomy, a valuable …

HIV-1 is a major global epidemic that requires sophisticated clinical management. There
have been remarkable efforts to develop new strategies for detecting and treating HIV-1, as it …

Talent search and recommendation systems at LinkedIn strive to match the potential
candidates to the hiring needs of a recruiter or a hiring manager expressed in terms of a search …

The Savitzky–Golay (SG) filter design problem is posed as the minimum norm solution of an
underdetermined equation system. A unified SG filter design framework encompassing …

State-of-the-art Ca 2+ imaging studies that monitor large-scale neural dynamics can
produce video datasets ~10 terabytes or more in total size, roughly comparable to ~10,000 …