architkaila / Fine-Tuning-LLMs-for-Medical-Entity-ExtractionLinks
Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and LoRA techniques to efficiently and accurately extract drug names and adverse side-effects from pharmaceutical texts
☆86Updated last year
Alternatives and similar repositories for Fine-Tuning-LLMs-for-Medical-Entity-Extraction
Users that are interested in Fine-Tuning-LLMs-for-Medical-Entity-Extraction are comparing it to the libraries listed below
Sorting:
- A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.☆236Updated 2 years ago
- Clinical text summarization by adapting large language models☆149Updated last year
- A code repository that cointains all the code for finetuning some of the popular LLMs on medical data☆64Updated last year
- Code for the MedRAG toolkit☆457Updated 6 months ago
- Integrating knowledge graphs (KG) with large language models (LLM)☆181Updated 10 months ago
- A knowledge graph RAG app using LangChain and Neo4j.☆236Updated last year
- Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.☆60Updated last year
- Code and data for MedQA☆326Updated 2 years ago
- ☆97Updated 3 months ago
- A collection of papers on automated medical coding from free-texts☆148Updated 10 months ago
- A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)☆127Updated last year
- ☆128Updated last year
- Biomedical Question Answering Datasets.☆115Updated 6 months ago
- What, Why and How of LLMs.☆75Updated last month
- A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.☆99Updated 5 months ago
- MedEmbed is a collection of embedding models fine-tuned specifically for medical and clinical data.☆82Updated last year
- Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets☆188Updated last year
- Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems☆307Updated 2 years ago
- Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database☆245Updated last year
- Graph based retrieval + GenAI = Better RAG in production☆220Updated last year
- PubMedQA: A Dataset for Biomedical Research Question Answering☆374Updated 2 years ago
- ☆318Updated 8 months ago
- A Python Natural Language Processing Toolkit for Medical Text Generation☆84Updated 5 months ago
- ☆94Updated 9 months ago
- Recognize bio-medical entities from a text corpus☆128Updated 2 years ago
- Official repository of the MIRAGE benchmark☆179Updated last year
- [ISMB 2024] Self-BioRAG: Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models☆64Updated last year
- Code for MedCPT, a model for zero-shot biomedical information retrieval.☆211Updated last year
- ☆90Updated last year
- all scripts used in gatortron project☆124Updated 2 years ago