Patil, Shishir G.

RAFT: Adapting Language Model to Domain Specific RAG

Zhang, T., Patil, S. G., Jain, N., Shen, S., Zaharia, M., Stoica, I., & Gonzalez, J. E. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 286

Gorilla: Large Language Model Connected with Massive APIs

Patil, S. G., Zhang, T., Wang, X., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 226

Gorilla: Large Language Model Connected with Massive APIs

Patil, S., Zhang, T., Wang, X., & Gonzalez, J. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingArtificial Intelligence Applications

Cited by 226

MemGPT: Towards LLMs as Operating Systems

Packer, C., Wooders, S., Lin, K., Fang, V., Patil, S. G., Stoica, I., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 64

Specifications: The missing link to making the development of LLM systems an engineering discipline

Stoica, I., Zaharia, M., Gonzalez, J., Goldberg, K., Sen, K., Zhang, H., Angelopoulos, A., Patil, S. G., Chen, L., Chiang, W.-L., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2

LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Li, D., Cao, S., Griggs, T., Liu, S., Mo, X., Tang, E., Hegde, S., Hakhamaneshi, K., Patil, S. G., Zaharia, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0