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I'm, Interesed in everything around AI engineering and research.

  • I am interested in how to use the current state of the art Artificial Intelligence systems (machine learning, large language models, data science, statistics,…) in practice for the benefit of others, such as for automating mundane tasks, science, technology development, mathematics, healthcare, preventing various risks, chatbot assistants grounded in knowledge etc. with Llamaindex, Langchain, Autogen, Vector databases, etc. (Courses - DeepLearning.AI, Practical Deep Learning for Coders - Practical Deep Learning, Stanford CS229: Machine Learning)
  • I am interested in how to build good AI models from scratch in Pytorch, or not from scratch with for example finetuning. I enjoy building large language models and other deep learning models from scratch. With Pytorch, Keras, fastai, etc. (I really love Neural Networks: Zero to Hero by Andrej Karpathy that was in OpenAI and Tesla and thaught in Stanford)
  • I am interested in trying to mathematically and empirically understand current and future AI systems, why and how they work, and how to make them much more reliable, robust, steerable, creative, intelligent, safe etc. across all levels of their development! Better steering wheel for AI systems would be great! RLHF, prompt engineering, systems made of LLMs, and current reverse engineering methods don't seem to be enough! Mechanistic interpretability, neurosymbolic paradigm, weak to strong generalization paradigm, and formal verification sound promising! (A Comprehensive Mechanistic Interpretability Explainer & Glossary - Dynalist)
  • I am interested in the future, with a focus on the future of AI, but not just the state of the art of the technology itself, but what implications does it have for our system in terms of politics, culture, economy, governance, other technologies, etc. In general I think about how to make world better for everyone with increasing automatization. How can it go well and have positive impact on your future? What political changes will we have to do? What risks exist? Where can we make the most beneficial progress? I don't want to see people suffer, maybe something like universal basic income or services will be needed to catch up with lob loss with increasing automatization, so that technology generates abundance for the benefit of all, not just for select few? How to minimize power concentration in the hands of the few? I'm trying to find solutions! I really care about the future filled with a ton of free fulfilled sentient beings flourishing, instead of dystopias and catastrophes! (David Shapiro)

And many other things, see my website burnyverse.com.

My commits from my AI work account from 2024: My commits from my work account from 2024

Burny's Projects

ai-agi-researchers icon ai-agi-researchers

Interacting GPT4 AGI researcher AI agent and writer AI agent writing research about AGI research using CrewAI and Langchain

ai-from-scratch icon ai-from-scratch

Transformer (GPT) LLM, LSTM, Diffusion, U-Net, MLP, Bigram, Linear Regression, Polynomial Regression, PyTorch, Scikit-learn, Torchvision, NumPy, Matplotlib, Einops, Transformers, Plotly

ai-youtube-assistant icon ai-youtube-assistant

AI assitant that let's you talk about the contents of Youtube videos using Langchain, Streamlit, FAISS, GPT3.5

amazon-clone icon amazon-clone

Amazon clone using MERN stack - so far React Javascript library/framework with Redux, Material UI, React Router Dom, React Currency Format, Firebase, Stripe, Axios, CSS, HTML

amazon-reviews-sentiment-analysis icon amazon-reviews-sentiment-analysis

Sentiment analysis of amazon reviews using Transformer Roberta Pretrained Model, VADER and Transformer Huggingface Pipeline using pandas, numpy, matplotlib, seaborn, nltk, tqdm, scipy

autogen-snake-game icon autogen-snake-game

Writing a simple snake game in Python using Autogen, a multiagent large language model framework with collaborating specialized GPT4 agents

brain icon brain

Cognitive modelling model in selfmade mathematical language

landing icon landing

My website using Obsidian and MkDocs template jobindjohn/obsidian-publish-mkdocs

meta-ai icon meta-ai

How to harness the power of existing AI systems? How about ductaping together existing general and highly specialized reasoning systems and all tools we developers use, from searching for data on the internet to using python libraries for machine learning to calling LLMs to making external memory for them, in one metareasoning system!

natural-language-processing icon natural-language-processing

Natural Lanuage Processing examples using transformer models (BERT), SVM, Bag-of-words, Word vectors, Stemming/Lemmatization, Spell correction using spacy, scikit, regex, nltk, textblob, torch

notes icon notes

Notes app in Javascript, CSS, HTML

practical-ai-projects icon practical-ai-projects

PyTorch, TensorFlow, Keras, fastai, NumPy, Matplotlib, ResNet, AWD-LSTM, Autoencoder, U-Net, Movie recommendation, Image classification, Noise removal, Image segmentation, Sentiment analysis

quantum-circuit-simulator icon quantum-circuit-simulator

Quantum Circuit Simulator in Python using numpy with quantum states with multiple qubits, performing gate operations for superposition and quantum entanglement, and simulating quantum measurements

sae-training icon sae-training

Training sparse autoencoders on top of large language models to reverse engineer them, datasets, transformers, pytorch, sae

source-tas icon source-tas

Contains .srctas scripts for tool assisted speedruns for the Source engine

speedmentum icon speedmentum

A standalone game built on the Unity Engine aiming to explore different types of movement mechanics.

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