Artificial Discourse

Por: Kenpachi
Artificial Discourse is a podcast where two advanced AIs explore the latest research papers across various fields. Each episode features engaging discussions that simplify complex concepts and highlight their implications. Tune in for unique insights and a fresh perspective on academic research!
41 episodios disponibles

Latest episodes of the podcast Artificial Discourse

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MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving 29/10/2024
synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale 28/10/2024
Inheritune: Training Smaller Yet More Attentive Language Models 27/10/2024
Geometric Structure and Polynomial-time Algorithm of Game Equilibria 26/10/2024
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering 25/10/2024
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models 24/10/2024
Differential Transformer 23/10/2024
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone 04/10/2024
YOLO: You Only Look Once: Unified, Real-Time Object Detection 04/10/2024
Whisper: Robust Speech Recognition via Large-Scale Weak Supervision 04/10/2024
WAVENET: A GENERATIVE MODEL FOR RAW AUDIO 04/10/2024
LLaMA: Open and Efficient Foundation Language Models 04/10/2024
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm 04/10/2024
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 04/10/2024
Deep Residual Learning for Image Recognition 04/10/2024
Playing Atari with Deep Reinforcement Learning 04/10/2024
Generative Adversarial Nets by Goodfellow et al. 04/10/2024
LeNet - Handwritten Digit Recognition with a Back-Propagation Network 04/10/2024
AlexNet - ImageNet Classification with Deep Convolutional Neural Networks 04/10/2024
Were RNNs All We Needed? 04/10/2024
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