Summary of Jal Anveshak: Prediction Of Fishing Zones Using Fine-tuned Llama 2, by Arnav Mejari et al.
Jal Anveshak: Prediction of fishing zones using fine-tuned LlaMa 2
by Arnav Mejari, Maitreya Vaghulade, Paarshva Chitaliya, Arya Telang, Lynette D’mello
First submitted to arxiv on: 15 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The authors introduce Jal Anveshak, an artificial intelligence (AI) application framework designed to benefit Indian fishermen in coastal areas. The framework uses a large language model fine-tuned on government data related to fishing yield and availability. Its primary goal is to help fishermen safely maximize their catch while resolving queries in multilingual and multimodal ways. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Jal Anveshak is an AI tool that helps Indian fishermen by giving them the best information about where to fish and how to get the most fish safely. The tool uses a special kind of AI model that was trained on data from the government about fishing yields and availability. This allows the tool to give helpful answers in multiple languages and formats, making it easier for fishermen to use. |
Keywords
» Artificial intelligence » Large language model
