LLM survey
- Understanding LLMs: A Comprehensive Overview from Training to Inference
- A Comprehensive Overview of Large Language Models
BEV networks survey
- Vision-Centric BEV Perception: A Survey
- Delving into the Devils of Bird’s-eye-view
Perception: A Review, Evaluation and Recipe
- Supporting Github repo
Misc networks
- Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving (https://wayve.ai/)
Transformers
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https://magazine.sebastianraschka.com/p/understanding-large-language-models
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Variants
- https://arxiv.org/pdf/2302.07730.pdf Full catalog of xformer based networks.
- https://lilianweng.github.io/posts/2020-04-07-the-transformer-family/
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Attention with code:
Online courses / lectures / docs
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Introduction to Deep Learning
- 170 Video Lectures from Adaptive Linear Neurons to Zero-shot Classification with Transformers
- https://sebastianraschka.com/blog/2021/dl-course.html
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Stanford CS229 - Machine Learning Full Course taught by Andrew Ng
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https://www.youtube.com/@Deeplearningai/playlists
- NN and DL:
- Hyperparameters, Regularizations and optimizations
- Structuring ML projects
- CNN
- Sequence models (Attention, speech, etc)
Quantization