Daily Dose of Data Science shares a recap of their best newsletter issues from 2024, categorized into LLMs, classical machine learning, and optimization techniques. Key topics include fine-tuning LLMs, context length extension, chunking strategies for RAG, contrastive learning, graph ML applications, Kernel PCA, and optimization techniques like multi-GPU training and quantization. The post also promotes a lifetime membership with access to extensive resources and courses on various data science and machine learning topics.
Table of contents
Category #1: LLMs, RAGs, and AgentsCategory #2: Classical ML and Deep LearningCategory #3: OptimizationA quick REMINDERSort: