Model Card
Example Usage
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim
model = SentenceTransformer('fineinstructions/matching_embedding') # Load model
input = model.encode('Tammy Tran, an undergraduate student in the Preston Lab, received the Rapaport-King Thesis Scholarship from the College of Liberal Arts. The Rapaport-King Scholarship is awarded to Honors Program students in the College of Liberal Arts who are conducting research and writing a senior thesis. Tammy also received an Undergraduate Research Fellowship awarded to students for […]\nDr. Ila Fiete recently published her paper entitled “Fundamental limits on persistent activity in networks of noisy neurons” in PNAS. The research investigates memory, diffusion and information-diffusion inequality in the brain. Y. Burak and I. R. Fiete. (2012). Fundamental limits on persistent activity in networks of noisy neurons. PNAS Early Edition (Oct. 9).\nDr. Hiroshi Nishiyama received a R01 grant from the NINDS for his project entitled “CNS Mechanisms of developmental synapse elimination”. This project investigates how the precision of synaptic circuitry is created in the developing mammalian brain by observing the process in the intact, live animals.\nJohn Widloski, graduate student in the Fiete Lab, received the Burroughs-Welcome Fund Award to attend the Methods in Computational Neuroscience summer course in Woods Hole, MA.\nAkram Bakkor, graduate student in the Poldrack lab, received a National Defense Science & Engineering Graduate Fellowship. This fellowship supports Akram’s research project investigating the neural mechanisms underlying how learned behaviors are changed. Using behavioral testing, modeling and fMRI analyses on human subjects the project will shed light on why habits can be so difficult […]\nDr. Boris Zemelman is the recipient of a Human Frontiers in Science Program Grant. This grant entitled “In vivo functional imaging and high-resolution manipulations of hippocampal memory circuits” is a collaborative project that will investigate how the brain encodes and processes spatial memory. Dr. Zemelman will use genetic tools for activation and silencing neurons and in […]')
others = model.encode(['A document that provides information about academic achievements, research funding, and scholarly publications of students and faculty members in a specific institution or department, such as the Preston Lab, Fiete Lab, or Poldrack lab, would be relevant. The document should contain specific details about the awards, scholarships, or grants received by the individuals, including the name of the award, the recipient, and the purpose or focus of the research project, to allow for a determination of the areas of study and research interests. This could include announcements, press releases, or news articles from academic institutions, research organizations, or scientific journals, and should provide a clear explanation of the research projects, enabling a reader to understand the objectives, methods, and significance of the studies. Additionally, the document would include information about the research topics, such as memory, diffusion, and information-diffusion inequality in the brain, or the neural mechanisms underlying learned behaviors, and would discuss the methodologies and techniques used, such as behavioral testing, modeling, and fMRI analyses. The document should also provide information about the funding sources, such as the Rapaport-King Thesis Scholarship, the National Defense Science & Engineering Graduate Fellowship, or the Human Frontiers in Science Program Grant, and explain the criteria or selection process for these awards. Furthermore, the document would describe the collaborative projects, such as the investigation of how the brain encodes and processes spatial memory, and the use of genetic tools for activation and silencing neurons, and would discuss the potential impact or contributions of the research to the field. Overall, a document that provides a comprehensive and detailed account of the academic achievements, research funding, and scholarly publications of students and faculty members would be able to provide an answer to the question.'])
print(cos_sim(input, others))
This model was trained with a synthetic dataset with DataDreamer 🤖💤. The synthetic dataset card and model card can be found here. The training arguments can be found here.
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