March
Papers
- Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
- Language Is Not All You Need: Aligning Perception with Language Models (KOSMOS-1)
- Scaling up GANs for Text-to-Image Synthesis (GigaGAN)
- Training Compute-Optimal Large Language Models (Chinchilla)
- Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback (LLM-AUGMENTER)
- Cones: Concept Neurons in Diffusion Models for Customized Generation
- LLaMA: Open and Efficient Foundation Language Models
- Self-Instruct: Aligning Language Model with Self Generated Instructions
Links
- https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/ Nvidia Issac robitics simulation platform
- https://openslam-org.github.io/tinyslam.html Laser-SLAM algorithm which has been programmed in less than 200 lines of C-language code
- http://paulgraham.com/anybots.html 2007 walking robot
- https://neuralpatterns.io/ Online neural cellular automata simulator
- https://matthewearl.github.io/2018/06/28/smb-level-extractor/ Blog on reading and rendering the tilemap data from Super Mario Bros (NES)
- https://there.oughta.be/a/game-boy-capture-cartridge Capturing gameboy screendata from the cartridge slot
- https://datasheets.raspberrypi.com/rp2040/hardware-design-with-rp2040.pdf Raspberry Pi 2040 spec sheet
- https://openai.com/research/gpt-4 GPT-4 release blog
- https://pytorch.org/tutorials/advanced/cpp_extension.html Writing custom C++ and CUDA extensions for PyTorch
- https://github.com/srush/GPU-Puzzles List of GPU/CUDA puzzles
- http://www.cs.ucf.edu/~kstanley/neat.html Information about the NEAT algorithm
- https://www.learncpp.com/ Online C++ tutorials
- https://github.com/cedrickchee/awesome-ml-model-compression List of resources regarding model compression in ML
- https://blog.regehr.org/ Interesing blog focusing mainly on compilers
- https://www.modular.com/blog/ais-compute-fragmentation-what-matrix-multiplication-teaches-us Blog on compute fragmentation
- https://docs.nvidia.com/cuda/ CUDA toolkit documentation 12.1
- https://crfm.stanford.edu/2023/03/13/alpaca.html Stanford Alpaca - Instruction-following model
- https://faculty.georgetown.edu/jod/texts/twain.html A Plan for the Improvement of English Spelling, by Mark Twain
- https://www.pinecone.io/learn/faiss/ Manual on Facebook's Faiss library
- https://horace.io/brrr_intro.html Improving the performance of deep learning models
- https://verifieddeeplearning.com/ Introduction to neural network verification
- https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm Twitter's recommendation algorithm