Biotic Browser: Applying StreamingLLM as a Persistent Web Browsing Co-Pilot
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913579083497472 |
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| author | Dunnell, Kevin F. Stoddard, Andrew P. |
| author_facet | Dunnell, Kevin F. Stoddard, Andrew P. |
| contents | This paper presents "Biotic Browser," an innovative AI assistant leveraging StreamingLLM to transform web navigation and task execution. Characterized by its ability to simulate the experience of a passenger in an autonomous vehicle, the Biotic Browser excels in managing extended interactions and complex, multi-step web-based tasks. It marks a significant advancement in AI technology, particularly in the realm of long-term context management, and offers promising applications for enhancing productivity and efficiency in both personal and professional settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_10454 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Biotic Browser: Applying StreamingLLM as a Persistent Web Browsing Co-Pilot Dunnell, Kevin F. Stoddard, Andrew P. Human-Computer Interaction Artificial Intelligence This paper presents "Biotic Browser," an innovative AI assistant leveraging StreamingLLM to transform web navigation and task execution. Characterized by its ability to simulate the experience of a passenger in an autonomous vehicle, the Biotic Browser excels in managing extended interactions and complex, multi-step web-based tasks. It marks a significant advancement in AI technology, particularly in the realm of long-term context management, and offers promising applications for enhancing productivity and efficiency in both personal and professional settings. |
| title | Biotic Browser: Applying StreamingLLM as a Persistent Web Browsing Co-Pilot |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2411.10454 |