Authors: Johannes B. Gruber, Maximilian Weber

Published on: April 11, 2024

Impact Score: 8.0

Arxiv code: Arxiv:2404.07654

Summary

• What is new: rollama introduces an easy way to interact with Generative Large Language Models (GLLM) locally via the Ollama API, emphasizing privacy and cost-effectiveness.
• Why this is important: Difficulties in accessing and using GLLMs for tasks like annotating data and document embedding due to cost and privacy concerns with existing cloud APIs.
• What the research proposes: rollama provides an R package that simplifies the process of using GLLMs locally for various tasks, offering a free and private alternative to using cloud-based APIs.
• Results: Enabled users to annotate textual and image data and perform document embedding with GLLMs efficiently in a more private, reproducible manner without incurring costs.

Technical Details

Technological frameworks used: R package for Ollama API

Models used: Generative Large Language Models (GLLM)

Data used: Textual and image data

Potential Impact

Cloud computing services, AI annotation tools, and companies relying on document embedding technologies could face disruption or benefit from adopting rollama for enhanced privacy and cost savings.

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