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Llama - EXPLAINED! 10 месяцев назад


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Llama - EXPLAINED!

ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporiu... 📚 Medium Blog:   / dataemporium   💻 Github: https://github.com/ajhalthor 👔 LinkedIn:   / ajay-halthor-477974bb   RESOURCES [1 🔴] Llama 1 dissertation: https://arxiv.org/pdf/2302.13971.pdf [2 🔴] Llama 2 dissertation: https://scontent-lax3-1.xx.fbcdn.net/... [3 🔴] Llama code: https://github.com/facebookresearch/l... [4 🔴] Where I got the decoder only transformer architecture: https://ai.stackexchange.com/question... [5 🔴] Huggingface models on Llama that you can use for inference: https://huggingface.co/models?search=... [6 🔴] Llama vs Alpaca: https://sapling.ai/llm/alpaca-vs-llama2 [7 🔴] Llama2 file using Qlora: https://colab.research.google.com/dri... [8 🔴] ‪@1littlecoder‬ 's video describing Qlora and how you can fine tune llama:    • 🐐Llama 2 Fine-Tune with QLoRA [Free C...   [9 🔴] Autotrain repo for 1 line training: https://github.com/huggingface/autotr... [10 🔴] Video describing on how to use Autotrain (‪@abhishekkrthakur‬ ) :    • The EASIEST way to finetune LLAMA-v2 ...   PLAYLISTS FROM MY CHANNEL ⭕ Transformers from scratch playlist:    • Self Attention in Transformer Neural ...   ⭕ ChatGPT Playlist of all other videos:    • ChatGPT   ⭕ Transformer Neural Networks:    • Natural Language Processing 101   ⭕ Convolutional Neural Networks:    • Convolution Neural Networks   ⭕ The Math You Should Know :    • The Math You Should Know   ⭕ Probability Theory for Machine Learning:    • Probability Theory for Machine Learning   ⭕ Coding Machine Learning:    • Code Machine Learning   MATH COURSES (7 day free trial) 📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML 📕 Calculus: https://imp.i384100.net/Calculus 📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStati... 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStati... 📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra 📕 Probability: https://imp.i384100.net/Probability OTHER RELATED COURSES (7 day free trial) 📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning 📕 Python for Everybody: https://imp.i384100.net/python 📕 MLOps Course: https://imp.i384100.net/MLOps 📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP 📕 Machine Learning in Production: https://imp.i384100.net/MLProduction 📕 Data Science Specialization: https://imp.i384100.net/DataScience 📕 Tensorflow: https://imp.i384100.net/Tensorflow #chatgpt #deeplearning #machinelearning #bert #gpt

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