#deep-learning
7 notes and posts, 5 links.
Notes and posts
Building Multimodal Search and RAG
Course notes from Building Multimodal Search and RAG about Multimodal Learning. Instructor: Sebastian Witalec, head of developer relations at Weaviate, human's learn multi-modally human's foundational knowledge is built…
Multimodal Learning
Meta-Transformer: A Unified Framework for Multimodal Learning -- Unified Multimodal Learning. Meta-Transformer utilizes the same backbone to encode natural languages, images, point clouds, audio, video, infrared…
LLM
Introductory Materials Generative AI exists because of the transformer -- A visual story from Financial Times; Sept 2023. Large language models, explained with a minimum of math and jargon A High-level Overview of Large…
JAX
JAX is a Python library which augments numpy and Python code with function transformations which make it trivial to perform operations common in machine learning programs. Concretely, this makes it simple to write…
GPT
GPT = Generative Pre-trained Transformer GPT in 60 Lines of NumPy | Jay Mody How GPT3 Works - Visualizations and Animations – Jay Alammar – Visualizing machine learning one concept at a time. Transformers from Scratch…
Deep learning
Books Mathematical Engineering of Deep Learning (online book). (Liquet et al. 2024) Deep Learning with Python by François Chollet (Google; Keras, TensorFlow, ARC Challenge) The little book of deep learning [pdf] by…
CS230
2022-11-27 AI Classes often discuss - Deep learning, Machine learning, Probabilistic Graphical Models, Planning algorithms (eg: motion planning), Search algorithms, Knowledge representation (knowledge graphs), Game…