Explore how transformers can select different depths of processing and reduce compute needs
we trace Mistral's strategic roadmap and and unpack the unique performance of les Ministraux (Ministral)
4 RL+F approaches that guide a model with targeted feedback
Explore how MLLMs can visually "think" step-by-step
Explore how OpenAI made their automatic speech recognition (ASR) model multilingual and multitasking
The recent Nobel Prizes in Chemistry and Physics were actually awarded for Deep Learning! Time to update your 'playing deck' of key ML concepts
we compare three fine-tuning methods – DoRA, QLoRA, and QDoRA – each designed to improve model performance and memory efficiency in different ways.
Explore how open-source idea enhances MoE architecture
The first set of cards in a 'playing deck' of key ML concepts!
we discuss the innovative combination of VectorRAG and GraphRAG in HybridRAG, its impact on financial document analysis and other areas of implementation, and clarify related terms for better understanding
we compare three distinct approaches, all called Chain of Knowledge, and suggest how they can be combined for better reasoning
We discuss the innovation suggested by the DeepSeek team, how it improves the models' performance, and dive into the architectures and implementation of the models
