Contribution to fix small bug and to reformat#27
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linhkid wants to merge 31 commits intoAutoLLM:mainfrom
Open
Contribution to fix small bug and to reformat#27linhkid wants to merge 31 commits intoAutoLLM:mainfrom
linhkid wants to merge 31 commits intoAutoLLM:mainfrom
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linhkid
commented
Apr 7, 2024
linhkid
commented
- Fix JSON error when there is incomplete prompt leading to failed json generation
- Add more fields in the summariaztion such as methodology, discussion, data used etc
- Add generated date to digest.html file
rmfan
reviewed
Apr 21, 2024
src/relevancy_prompt.txt
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| My research interests are: No newline at end of file | ||
| 1. {"Relevancy score": "an integer score out of 10", "Reasons for match": "1-2 sentence short reasonings", "Goal": "What kind of pain points the paper is trying to solve?", "Data": "Summary of the data source used in the paper", "Methodology": "Summary of methodologies used in the paper", "Git": "Link to the code repo (if available)", "Experiments & Results": "Summary of any experiments & its results", "Discussion & Next steps": "Further discussion and next steps of the research"} | ||
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| My research interests are: NLP, RAGs, LLM, Optmization in Machine learning, Data science, Generative AI, Optimization in LLM, Finance modelling ... No newline at end of file |
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The interests get appended on here:
Line 23 in 0eadab7
No need to add them manually to the relevancy prompt
rmfan
reviewed
Apr 21, 2024
README.md
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| **ArXiv Digest and Personalized Recommendations using Large Language Models.** | ||
| **ArXiv Digest (extra version) and Personalized Recommendations using Large Language Models.** | ||
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| *(Note: This is an adjusted repo to match my needs. For original repo please refer to **AutoLLM** that I forked from)* |
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This is a pull request to the original repo 😄
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Sorry Richard, pls ignore haha.
Revamp workflow, UI and using multiple models for this repo 1.Content Extraction After Filtering: Added a new step in the process between Stage 1 and Stage 2 After papers pass the relevancy filter, the system now extracts HTML content for them Only papers that make it through the threshold get their content fetched Uses the crawl_html_version function from download_new_papers.py that you already have Process Flow: Stage 1: Quick filtering based on title and abstract only Content Extraction: Fetch HTML content for papers that passed the filter Stage 2: Detailed analysis that includes the full content Updated Filter Prompt: Made it clear in the Stage 1 prompt that this is just preliminary screening Specified that papers scoring 7+ will be analyzed in depth with full content Added clearer instructions for the relevancy scoring Fixed Processing Flow: Always processes all available papers Uses fixed batches of 8 papers for Stage 1 (title & abstract only) Guarantees at least 10 papers will be analyzed in depth Revamp UI using Gradio and removed Sending email Workflow Improvements: Added clear comments explaining the fixed parameters Removed the batch update function which is no longer needed Simplified the code overall
Multiagent multipurpose
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