rong4ivy Goto Github PK

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Name: Rong

Type: User

Company: Stuttgart University

Location: Germany

👋 Hello, I'm [rong4ivy]

🎓 Master student at the Institute of Natural Language Processing, University of Stuttgart, Germany
Deeply engaged in advancing the frontiers of AI

💼 Professional Experience

Specialized in optimizing large language models (LLMs) to improve performance and tailor them to specific applications, assessing their effectiveness, and identifying areas for improvement.
Actively collaborating in research across NLP, psycholinguistics, and LLM fields, contributing to academic publications.

🚀 Key Skills

Programming Languages: Proficient in Python; intermediate in R and JavaScript.
Generative AI: Skilled in fine-tuning pretrained language models, evaluating LLMs, and developing applications with LangChain and AutoGen.
Natural Language Processing (NLP): Experienced in tokenization, named entity recognition, and sentiment analysis.
Deep Learning: Proficient with PyTorch, focusing on building and training neural networks.
Machine Learning: Adept at developing and deploying models across various applications.

I'm always open to collaborations, discussions, and learning from others in the generative AI and NLP community.Thank you for visiting my GitHub profile. I look forward to connecting with fellow enthusiasts! 🎉 Keep Coding and Stay Curious!

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Rong's Projects

agentbench

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

autogen1

This repository will have different projects using AutoGen and Tutorials

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

big5personality

chat-langchain

computational-personality-recognition

Exploring different methods of classifying an author's Big-5 personality traits based on their social media posts

data_extraction

dspy

DSPy: The framework for programming—not prompting—foundation models

efficient-spiking-networks

Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT

emotion-recognition

speech emotion recognition project using only temporal MFCC feature

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

kaldi-timit-sre-ivector

Develop speaker recognition model based on i-vector using TIMIT database

large-language-models

Notebooks for Large Language Models (LLMs) Specialization

lighteval

LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron.