- author = "Omar Khattab and Arnav Singhvi and Paridhi Maheshwari and Zhiyuan Zhang and Keshav Santhanam and Sri Vardhamanan and Saiful Haq and Ashutosh Sharma and Thomas T. Joshi and Hanna Moazam and Heather Miller and Matei Zaharia and Christopher Potts",
- title = "DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines",
- howpublished = "arXiv 2310.03714",
- year = "2023",
- month = "5 " # oct,
- keywords = "genetic algorithms, genetic programming, LLM, AI, ANN, GPT-3.5 and llama2-13b-chat, 770M-parameter T5, llama2-13b-chat, Python, dspy.SQL, GSM8K, HotPotQA",
- eprint = "2310.03714",
- archiveprefix = "arXiv",
- primaryclass = "cs.CL",
-
URL = "
https://arxiv.org/abs/2310.03714",
-
code_url = "https://github.com/stanfordnlp/dspy",
- size = "32 pages",
- abstract = "DSPy: The framework for programming, not prompting, foundation models",
-
notes = "See \cite{Khattab:2023:neurips}
p5 'we get a system that generates searchqueries rather than answers' 'optimizer that takes the program, a training set, and a metric, and returns a new optimized program.'
p7 'hyperparameter tuning algorithms'
See also ICLR 2024 \cite{DBLP:conf/iclr/KhattabSMZSVHSJ24}",
