ibibek Goto Github PK
Name: Bibek
Type: User
Company: SAIL Lab, University of New Haven
Bio: LLMs, NLP, Adversarial Stimuli, EEG, BCI
Twitter: upadhayay_bibek
Name: Bibek
Type: User
Company: SAIL Lab, University of New Haven
Bio: LLMs, NLP, Adversarial Stimuli, EEG, BCI
Twitter: upadhayay_bibek
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Fine-tuning LLaMA to follow instructions within 1 Hour and 1.2M Parameters
The attention map viewer for LLaMA models.
Universal and Transferable Attacks on Aligned Language Models
[NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.
LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces
Markdown Cheatsheet for Github Readme.md
Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python
Use ML-Annotate to label data for machine learning purposes
Examples in the MLX framework
Mother of All BCI Benchmarks
Data for "Multilingual Jailbreak Challenges in Large Language Models"
CS198-96: Intro to Neurotechnology @ UC Berkeley
ONgDB is an independent fork of Neo4j® Enterprise Edition version 3.4.0.rc02 licensed under AGPLv3 and/or Community Edition licensed under GPLv3
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
A unified evaluation framework for large language models
LLaMA 2 implemented from scratch in PyTorch
QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning PaLM with only five examples per language. We use the synthetic data to finetune downstream QA models leading to improved accuracy in comparison to English-only and translation-based baselines.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.