large-language-models

Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"

Fine tuning Mistral-7b with PEFT(Parameter Efficient Fine-Tuning) and LoRA(Low-Rank Adaptation) on Puffin Dataset(multi-turn conversations between GPT-4 and real humans)

Food recommendation chatbot with LLM fine tuning. 2023 graduation project from Pusan Nat'l Univ.

Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

Applying LLMs, augmented with information retrieval (RAG) and function calling, to a variety of tasks in different domains.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.

🧠 The Complete Guide to Context Engineering — Research Papers, Blogs, YouTube Videos, Tools & Best Practices for LLM Context Window Optimization

A curated collection of open-source Large Language Model (LLM) projects that are production-ready and can be used for solving real-world problems. This repository focuses on high-performance, scalable LLM solutions across various industries and applications.

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.

Let's build our own scalable chatbots for the Scalable Machine Learning and Deep Learning course at KTH!!