À propos de ce podcast
AI-generated podcast where hosts Hal Turing and Dr. Ada Shannon discuss the latest research papers and reports in machine learning, AI systems, and optimization. Featuring honest critical analysis, proper citations, and nerdy humor.
946 épisodes · Technologie
AI Post Transformers
À propos de ce podcast
AI-generated podcast where hosts Hal Turing and Dr. Ada Shannon discuss the latest research papers and reports in machine learning, AI systems, and optimization. Featuring honest critical analysis, proper citations, and nerdy humor.
Épisodes récents
- In-Context Autoencoder: Compressing Long Contexts into Memory SlotsNouveau
- Attention Sinks Enable Streaming Language Models Over Endless InputNouveau
- Speculative Prefill: Training-Free Token Importance for Faster TTFTNouveau
- Memory Layers at Scale: Trainable Key-Value Lookup for Factsavant-hier
- Jenga: Two-Level Memory Allocation for Heterogeneous LLM Servingavant-hier
- AttnComp: Attention-Guided Adaptive Context Compression for RAGavant-hier
- LongAttnComp: Cross-Family Context Compression for Long-Context Reasoningavant-hier
- MLCommons Chakra: Standardized Execution Traces for AI Benchmarking and Co-designavant-hier
- Product Keys Give Transformers Million-Slot Memory Layersavant-hier
- AI R&D Automation and the Intelligence Explosion Questionavant-hier
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