Topic: "flan-t5"
xorbitsai/inference
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Language: Python - Size: 47.1 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 8,482 - Forks: 735
georgian-io/LLM-Finetuning-Toolkit
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
Language: Python - Size: 32.7 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 854 - Forks: 101
declare-lab/flan-alpaca
This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.
Language: Python - Size: 33.2 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 352 - Forks: 38
zorazrw/filco
[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton
Language: Python - Size: 44.9 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 194 - Forks: 20
HamedBabaei/LLMs4OL
LLMs4OL: Large Language Models for Ontology Learning
Language: Python - Size: 38.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 66 - Forks: 7
yyDing1/GNER
[ACL-24 Findings] Code implementation of Paper "Rethinking Negative Instances for Generative Named Entity Recognition"
Language: Python - Size: 4.69 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 55 - Forks: 2
rpidanny/llm-prompt-templates
Empower your LLM to do more than you ever thought possible with these state-of-the-art prompt templates.
Language: TypeScript - Size: 641 KB - Last synced at: 6 days ago - Pushed at: 12 months ago - Stars: 42 - Forks: 2
zeyadusf/LLMs-from-Scratch
Build a Large Language Model (From Scratch) book and Finetuned Models
Language: Jupyter Notebook - Size: 8.22 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 41 - Forks: 20
terjanq/hack-a-prompt
Tools and our test data developed for the HackAPrompt 2023 competition
Language: HTML - Size: 1.89 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 5
replicate/getting-started-nextjs-language
A template Next.js app for running language models like FLAN-T5 with Replicate's API
Language: JavaScript - Size: 355 KB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 3
Reason-Wang/flan-alpaca-lora
This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.
Language: Python - Size: 6.71 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 23 - Forks: 3
M-Taghizadeh/flan-t5-base-imdb-text-classification
In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.
Language: Jupyter Notebook - Size: 42 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 2
CodeName-Detective/Prompt-to-Song-Generation-using-Large-Language-Models
This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.
Language: Jupyter Notebook - Size: 57.6 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 1
mltrev23/google-flan-t5-small
Training and fine-tuning flan-t5-small model based on provided text
Language: Python - Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 15 - Forks: 0
dylan-slack/Tablet
The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
Language: Python - Size: 41.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1
nicolay-r/THOR-ECAC
The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)
Language: Python - Size: 5.15 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 12 - Forks: 0
VanekPetr/flan-t5-text-classifier
Fine-tuning of Flan-5T LLM for text classification
Language: Python - Size: 9.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 3
mltrev23/flan-t5-fine-tune
Flan-t5 model fine tune LoRA and Langchain
Language: Python - Size: 34.2 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0
arasgungore/Generative-AI-with-LLMs
My solutions to the lab assignments in the Generative AI with Large Language Models course offered by Amazon Web Services.
Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1
Himidiri/MergeX
Revolutionizing open-world gaming, MergeX harnesses NLP advances to empower players with limitless dialogue interactions with NPCs. By imbuing each character with a unique biography, conversations authentically align with NPC personalities, transcending traditional limitations.
Language: Jupyter Notebook - Size: 243 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 3
ramendrasingla/RL-LLM-Based-Title-Generator
Struggled with creating catchy, human-like titles using ChatGPT or other LLMs? If you've ever been frustrated by AI-generated titles that lack a human touch, I’ve just published something you’ll find useful. My latest blog explores how Reinforcement Learning (RL) can push LLMs to craft more compelling, attention-grabbing headlines
Language: Python - Size: 374 KB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1
HoangLayor/Finetune-LLMs-for-Sequence-Classification
Finetune Flan-T5 for email classification
Language: Jupyter Notebook - Size: 135 KB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0
sergio11/llm_finetuning_and_evaluation
The LLM FineTuning and Evaluation project 🚀 enhances FLAN-T5 models for tasks like summarizing Spanish news articles 🇪🇸📰. It features detailed notebooks 📚 on fine-tuning and evaluating models to optimize performance for specific applications. 🔍✨
Language: Jupyter Notebook - Size: 499 KB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1
Kuberwastaken/TREAT-CS50
An Early (Flan T-5) version of An Open-Source AI Web App to Detect Triggering Content in Movies and Shows - Kuber Mehta's CS50x Capstone Project
Language: CSS - Size: 1.58 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
himanshuvnm/Foundation-Model-Large-Language-Model-FM-LLM
This repository was commited under the action of executing important tasks on which modern Generative AI concepts are laid on. In particular, we focussed on three coding actions of Large Language Models. Extra and necessary details are given in the README.md file.
Language: Jupyter Notebook - Size: 431 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2
purang2/Report-Summarization
Summarize Long Document with Pretrained sequence-to-sequence LM with long-range attention!
Size: 145 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
KRR-Oxford/LLMap-Prelim
A preliminary investigation for ontology alignment (OM) with large language models (LLMs).
Language: Python - Size: 20.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1
the-good-fellas/flan-t5-ptbr
Tutorial para treino de um modelo baseado Flan-T5 usando Flax no GCP-TPU
Language: Python - Size: 183 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
utsab1009/AI-HealthDoc-Chatbot-PDF-FAISS-FLAN
A privacy-focused local LLM chatbot for chatting with healthcare PDFs using FAISS + FLAN-T5.
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
hrao-dev/SumUp
AI-powered text and news summarizer that delivers clear, concise insights from long-form content.
Language: Jupyter Notebook - Size: 172 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
ShubhRanpara/Auto-Filler
This repository contains my team's internship project work at Flexbox Technologies. We have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
Language: Python - Size: 6.82 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
ShubhRanpara/Auto-Filler-Web
This repository contains my internship project work at Flexbox Technologies. I have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
Language: HTML - Size: 7.26 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
shoryasethia/ConversationSummarizerLLM
Fine Tuning pegasus and flan-t5 pre-trained language model on dialogsum datasets for conversation summarization to to optimize context window in RAG-LLMs
Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ShubhRanpara/ChatPDF
This repository contains one of my cool project which I have created during my college's MINeD hack-a-thon.
Language: Python - Size: 195 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
pankajrawat9075/Dialog-Summarization-with-Generative-AI
Using Open-Source LLMs like FLAN-T5, built a Dialog Summarization model and did fine-tuning with DialogSum HF Dataset
Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
owaisahmadlone/SQL-LLM
Fintetuned Flan-T5 to provide SQL queries given Natural Language Text. Two steps of finetuning: First on general Natural Language to SQL Queries and second on queries related to a single database
Size: 2.86 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
shishir-dwi/HealPal-Chatmate
The LLM-based medical chatbot, powered by the Llama-2-7b-chat-hf model from Meta and implemented within the Langchain framework, offers personalized healthcare support.
Language: Jupyter Notebook - Size: 277 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
HamedBabaei/author-profiling-pan2023
Symbol Team model for PAN@AP 2023 shared task on Profiling Cryptocurrency Influencers with Few-shot Learning
Language: Python - Size: 1.48 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
rochitasundar/Generative-AI-with-Large-Language-Models
This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".
Language: Jupyter Notebook - Size: 218 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
semaj87/summarise-dialogue-flan-t5
Performing the task of dialogue summarisation using Generative AI, whilst comparing the effects of zero shot, one shot and few shot prompt engineering. These steps are used to enhance the completion of Large Language Models (LLMs))
Language: Jupyter Notebook - Size: 278 KB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
UKPLab/starsem2023-arithmetic-based-pretraining
Code and data for the StarSem 2023 paper "Arithmetic-Based Pretraining -- Improvin Numeracy of Pretrained Language Models"
Language: Julia - Size: 108 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
purang2/LLM-NLP-Seminar-PPT-Slides
2023 My NLP PPT Slides (LLM, NLP)
Size: 22.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
synkathairo/flan-t5-large-gradio
A gradio frontend for Google's Flan-T5 Large language model, can also be adjusted for other sizes.
Language: Python - Size: 8.79 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2
Amama-Fatima/pin-persona
AI powered Pinterest persona generator for historical figures
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
shreyas27092004/flan-t5-detoxification-ppo
Fine-Tuning FLAN-T5 for Detoxification with PPO and PEFT
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
shreyas27092004/Generative-AI-Model-Fine-Tuning-Hugging-Face-Transformers-
Fine-tuning a Generative AI model using Hugging Face Transformers. Includes dataset preprocessing, model training, evaluation, and text generation with a custom fine-tuned model.
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
shreyas27092004/Generative-AI-Summarization-with-FLAN-T5
The primary focus of this lab is to explore dialogue summarization using the **FLAN-T5** model from Hugging Face.
Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
nabeelshan78/flanT5-ICL-SFT-PEFT-RLHF
An end-to-end pipeline for adapting FLAN-T5 for dialogue summarization, exploring the full spectrum of modern LLM tuning. Implements and compares Full Fine-Tuning, PEFT (LoRA), and Reinforcement Learning (RLHF) for performance and alignment. Features a PPO-tuned model to reduce toxicity, in-depth analysis notebooks, and interactive Streamlit demo.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Saeedanbarimoghadam/Cancer-Information-Q-A-with-LLM-and-RAG
Language: Jupyter Notebook - Size: 182 KB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
huzaifa113/MediRAG
Clinical RAG Assistant using MIMIC-IV-Ext-DiReCT dataset for medical diagnosis. Used FAISS for document retrieval and FLAN T5 for generating answers.
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Daddy-Myth/Flan-T5-rlhf-align
Aligning FLAN-T5 with Reinforcement Learning from Human Feedback (RLHF) for Neutral, Grammatically Correct News Summaries
Language: Jupyter Notebook - Size: 161 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
aunraza19/fine-tuned-flan-t5-legal-summarizer-app
A fine-tuned FLAN-T5 model deployed in a Streamlit app to summarize and analyze legal documents with integrated NER.
Language: Jupyter Notebook - Size: 301 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
SuneshSundarasami/Multilabel-Toxicity-Detection-Using-Classical-RNN-and-Transformer-Architectures
End-to-end ML workflow for multi-label toxic comment detection using NLP. Implements advanced text preprocessing, multi-label vectorization, and models (Logistic Regression, RNNs, Transformers). Includes scripts for data cleaning, training, and per-label metrics.
Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
abdulvahapmutlu/research-agent
A hybrid Research Assistant that combines an exact Knowledge Graph (Neo4j) with a Retrieval‑Augmented Generation pipeline (FAISS + Cross‑Encoder + FLAN‑T5) behind a sleek Streamlit interface.
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
hisanusman/Violent-activities-detection-and-scene-understanding
This project uses a vision transformer to detect violent activities in CCTV footages, along with a custom YOLOv8 model for weapon detection and pin-pointing of exact person. Scene understanding has been implemented through CLIP, the results of which are used in automatic AI report generation via LangChain (GPT & FLAN-T5).
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
satyampurwar/large-language-models
Unlocking the Power of Generative AI: In-Context Learning, Instruction Fine-Tuning, Reinforcement Learning Fine-Tuning and Retrieval Augmented Generation.
Language: Jupyter Notebook - Size: 180 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Ajairajv/Detoxified-Summaries-with-FLAN-T5-PPO
Fine-tunes FLAN-T5 using Reinforcement Learning (PPO) and PEFT to generate less toxic summaries, leveraging Meta AI's hate speech reward model for detoxification.
Language: HTML - Size: 101 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Ajairajv/Fine-Tuning-a-Generative-AI-Model
Fine-tunes FLAN-T5 for dialogue summarization using full fine-tuning and LoRA-based PEFT, evaluated with ROUGE metrics and human assessment.
Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
fahimabrar/Large-Language-Model
This repository contains Zero, Few shot Inference, Fine Tuning a Large Language Model For Document Summarization, and lot more is coming...
Language: Jupyter Notebook - Size: 52.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Nsikan56/Chartbot_chatbot
AI-powered chatbot analyzing 63+ years of Billboard Hot 100 data using FLAN-T5 transformers for NLP + regex fallback. Parses queries like "Top 10 songs of 2010" or "How long was Thriller on the chart?" Built with Streamlit, featuring modern UI with CSS animations
Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
hrao-dev/QuickPulse
AI-Powered News Summarization with Real-Time Sentiment and Topic Insights
Language: Python - Size: 30.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
radhika262/VOXA-A-Sleek-and-Modern-Chatbot
Voxa – A Sleek and Modern Chatbot, is to develop an AI-powered assistant that can handle a wide range of customer queries—whether typed or spoken—in a natural, context-aware manner
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
shantanumohod23/pdf-chatbot-genai
🤖 A Generative AI chatbot that answers questions from PDFs using FLAN-T5 and sentence-transformers, built with Streamlit.
Language: Python - Size: 5.86 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
darshan-vijay/Plant-Doc
Detects plant diseases from leaf images using a fine-tuned ResNet model, then uses a domain-adapted Flan-T5 language model to answer user questions about the disease, including symptoms and treatments, based on curated knowledge.
Language: Jupyter Notebook - Size: 94.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
MyriamBA/Dialogue-Summarizer
An End-to-End Dialogue Summarization Project using LLMs.
Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
eeshan15/FLAN-T5-Model-Implementation
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RuvenGuna94/Dialogue-Summary-Use-Case
GEN AI use case: dialogue summary. This notebook is extracted from the course Generative AI with Large Language Models. It is used to understand how input text can affect model performance.
Language: Jupyter Notebook - Size: 84 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
RuvenGuna94/Notes--Generative-AI-with-Large-Language-Models
Projects and exercises from the 'LangChain for LLM Application Development' course by DeepLearning.AI. Learn to build real-world applications with LangChain.
Size: 2.34 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
RuvenGuna94/Dialogue-Summary-PEFT-Fine-Tuning
This notebook fine-tunes the FLAN-T5 model for dialogue summarization, comparing full fine-tuning with Parameter-Efficient Fine-Tuning (PEFT). It evaluates performance using ROUGE metrics, demonstrating PEFT's efficiency while achieving competitive results.
Language: Jupyter Notebook - Size: 289 KB - Last synced at: about 2 hours ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
davide-abbattista/SciQA
The Scientific Question Answering (SciQA) System is an end-to-end solution designed to provide accurate, contextually relevant, and citation-supported answers to user queries.
Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
RajVenkat20/LLM-Optimizations-QLoRA-AWQ
This project takes the Flan-T5 LLM and applies QLoRA and AWQ quantization techniques
Language: Python - Size: 488 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
pintamonas4575/NLP-text-detox-MAADM-UPM
NLP for detoxing language phrases in several languages.
Language: Jupyter Notebook - Size: 8.82 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
ayax537/CodSoft-TASK101
Naive Bayes Model: Cleaned data, engineered features, and achieved impressive results. FLAN-T5 Large Language Model: Explored zero-shot, one-shot, and few-shot inference techniques.
Language: Python - Size: 3.91 KB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
ayax537/codsoft-task4
📣 Forth task on CodSoft Internship During my internship at CodSoft, I had the opportunity to develop a Spam SMS Detection model. The goal was to create a machine-learning solution to classify SMS messages as "ham" or "spam" automatically.
Language: Python - Size: 3.91 KB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
AishwaryaHastak/RAG-using-T5
An End-to-End RAG Pipeline for handling Question and Answer in the Data Science domain
Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 6 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1
PrathamLearnsToCode/Fine-tuning-FLAN-T5-with-LoRA-WandB
Fine tune an LLM for summarization task using Low rank adaptation
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
qiqinyi/GenAI-with-LLMs
My lab work of “Generative AI with Large Language Models” course offered by DeepLearning.AI and Amazon Web Services on coursera.
Language: Jupyter Notebook - Size: 28.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
r-gheda/rag-complex-qa
Prompt-engineered RAGs for Open Domain Complex QA
Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Abhi-vish/Chat-With-PDFs
Chat with PDFs: A Streamlit-based web app for uploading multiple PDFs, asking natural language questions, and receiving answers using advanced language models.
Language: Python - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AJlearner46/Deduplicate-flanv2-finetune-LLaMa3-
perform deduplication on FLAN v2 dataset & Finetune LLaMa3 using this dataset
Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
kconstable/LLM-fine-tuning
For this project, I fine-tuned two separate models for three tasks: document summarization, dialogue summarization and text classification
Language: Jupyter Notebook - Size: 195 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
WaveGenAI/lyric-tagger
The codebase for finetuning a flant5 model to include tag in a lyric.
Language: Python - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
kHarshit/llm-projects
LLM projects
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purrvaja/Text-Summarization-with-FLAN-T5
Demonstration of LLM techniques such as prompt engineering, full finetuning, PEFT (LoRA) etc.
Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ambideXtrous9/MTP-News-Article-based-Question-Answering-System
MTP-FlanT5-SBERT-Model-for-NewsQA-and-Teacher-Student-Model
Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AkashKV-1998/Dialog-Summarization-using-Large-Language-Model
This repository contains notebook files that discuss Large Language Models (LLMs), covering topics like fine-tuning, prompt engineering, and techniques such as PEFT (Parameter Efficient Fine-Tuning) and PPO (Proximal Policy Optimization) etc.
Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
highplainscomputing/HPC_T5
This repository is made for T5 model where user can train their model on any T5 model version.
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
trjo1/genaiwithllms
Fine-tuned FLAN T-5 using Instruction Fine-Tuning (Full), LoRA-based PEFT, and RLHF with PPO
Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
jruranski/TherapyAI
Web app for a therapist chatbot. Using a custom fine-tuned local flan-t5 model for summarisation and ChatGPT3.5 for chat.
Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
laceymalarky/nlp_question_answer
Developed a generative large language model fine-tuned on Stack Overflow data for question answering and deployed web UI.
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claudiatang-git/english-hawaiian-pidgin-translator
Finetuned FLAN-T5 to translate English to Hawaiian Pidgin
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bsantraigi/Frugal-Prompting-Analysis
Official Code for Analysis Done in the Paper "Frugal Prompting for Dialog Models"
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sahilichake/Document-Summarization-App-using-LLM
Document Summarization App using large language model (LLM) and Langchain framework. Used a pre-trained T5 model and its tokenizer from Hugging Face Transformers library. Created a summarization pipeline to generate summary using model.
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aolivtous/LLMs-for-DocVQA
Master's thesis on Large Language Models for Document Visual Question Answering
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iansnyder333/FakeNews-GPT_Project
Harness the power of GPT-2 and Flan-T5-Large using a single GPU with LoRA.
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kkkravets/Seq2Lightning
Project based on PyTorch-lightning and Transformers for training Seq2SeqLM models, with a primary focus on MT5 and FLAN-T5, yet not limited to them
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LaniW/CensoredCrawledConversation
Text-To-Text Textbots to Demonstrate Output Differences Between Models Trained on Filtered/Unfiltered Datasets for HSS4 - The Modern Context: Select Figures and Topics
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navneet1083/textsum-tune
This project is based on fine-tuning LLM models (FLAN-T5) for text summarisation task using PEFT approach. All evaluation metrics being computed on ROUGE scoring and LoRA optimisation techniques being used for fine-tuning.
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kavlata/LLM-experiments
Multiple LLM based models for NLP tasks. Starting with Question answering on custom data
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abhinav-neil/socratic-models Fork of milenakapralova/socraticmodels
Socratic models for multimodal reasoning & image captioning
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