Listen "ConvLLaVA's Visual Compression, Efficient LLVM, Multilingual Aya 23, and AutoCoder's Code Mastery"
Episode Synopsis
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal
Models
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision
Models
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to
the Edge of Generalization
Aya 23: Open Weight Releases to Further Multilingual Progress
Stacking Your Transformers: A Closer Look at Model Growth for Efficient
LLM Pre-Training
AutoCoder: Enhancing Code Large Language Model with
AIEV-Instruct
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