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

Mostrando página 10 de 16

K2-Think: A Parameter-Efficient Reasoning System 10/09/2025
AlphaEvolve: AI for Scientific and Algorithmic Discovery 10/09/2025
BLEU: Automatic Machine Translation Evaluation 10/09/2025
Mini-o3: Scaling Reasoning for Visual Search 10/09/2025
Masked Diffusion Models: Performance and Theory 10/09/2025
TraceRL: Reinforcement Learning for Diffusion Language Models 09/09/2025
LLM Benchmark Robustness to Linguistic Variation 09/09/2025
Behavioral Fingerprinting of Large Language Models 09/09/2025
Offloading LLM Models and KV Caches to NVMe SSDs 08/09/2025
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
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