fshnkarimi / Fine-tuning-an-LLM-using-LoRA
📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.
☆47Updated last year
Alternatives and similar repositories for Fine-tuning-an-LLM-using-LoRA:
Users that are interested in Fine-tuning-an-LLM-using-LoRA are comparing it to the libraries listed below
- Implementation and evaluation of multimodal RAG with text and image inputs for industrial applications☆43Updated 4 months ago
- Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…☆46Updated 3 weeks ago
- This is the code of MMOA-RAG.☆44Updated last week
- ☆24Updated 6 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆78Updated last month
- This repository contains a custom implementation of the BERT model, fine-tuned for specific tasks, along with an implementation of Low Ra…☆69Updated last year
- MathPrompter Implementation: This repository hosts an implementation based on the 'MathPrompter: Mathematical Reasoning Using Large Langu…☆13Updated 8 months ago
- Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning☆46Updated last year
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers☆65Updated 10 months ago
- FuseAI Project☆84Updated 2 months ago
- ☆16Updated 5 months ago
- Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipe…☆39Updated 6 months ago
- PGRAG☆47Updated 8 months ago
- ☆56Updated 6 months ago
- ☆35Updated 2 months ago
- a curated list of the role of small models in the LLM era☆95Updated 6 months ago
- ☆142Updated 11 months ago
- Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [F…☆62Updated 10 months ago
- ☆74Updated last year
- LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation☆38Updated last year
- ☆20Updated 3 years ago
- ☆20Updated 8 months ago
- Self-Reflection in LLM Agents: Effects on Problem-Solving Performance☆63Updated 4 months ago
- Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems☆75Updated 3 weeks ago
- Codebase accompanying the Summary of a Haystack paper.☆75Updated 6 months ago
- Fine-Tuning LLM and embedding models☆27Updated last year
- ☆88Updated last month
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆49Updated 8 months ago
- CoNLI: a plug-and-play framework for ungrounded hallucination detection and reduction☆29Updated last year
- ☆73Updated 2 months ago