AI: post transformers

Por: mcgrof
The transformer architecture revolutionized the world of Neural Networks. It was a springboard for what we know today as modern artificial intelligence. This podcast focuses on modern state of the art research paper reviews starting from the transformer and on.
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Latest episodes of the podcast AI: post transformers

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GPT-NeoX: Large-Scale Autoregressive Language Modeling in PyTorch 07/09/2025
SGLang: Efficient Language Model Program Execution 07/09/2025
Eleuther: evaluating LLMs 07/09/2025
OpenELM: Apple's Open Language Model Family 07/09/2025
FineVision: Open Data for Computer Vision 07/09/2025
Evaluating Large Language Models Trained on Code 07/09/2025
Democratizing AI Compute: The Modular Vision 07/09/2025
Limitations of Embedding-Based Retrieval 06/09/2025
SAIR: Accelerating Pharma R&D with AI-Powered Structural Intelligence 06/09/2025
EmbeddingGemma: On-Device AI for High-Quality Embeddings 05/09/2025
MTEB & MMTEB: The Massive Text Embedding Benchmark 05/09/2025
DeepResearch Arena: Benchmarking LLMs' Research Abilities 05/09/2025
Inverse IFEval: Unlearning LLM Cognitive Inertia 05/09/2025
The Rise of Physical Neural Networks 04/09/2025
FastVLM: Efficient Vision Encoding for Language Models 04/09/2025
Apertus Tech Report Overview 04/09/2025
Supervised Learning in DNA Neural Networks 04/09/2025
FusionANNS: Billion-Scale ANNS with SSD and GPU 03/09/2025
rStar2-Agent: Smarter Math Reasoning Through Agentic RL 03/09/2025
Scientific LLMs: A Data-Centric Survey and Roadmap 03/09/2025
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