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

Stronger Models are NOT Stronger Teachers for Instruction Tuning 25/11/2024
Large Language Models Can Self-Improve in Long-context Reasoning 22/11/2024
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models 21/11/2024
LLaVA-o1: Let Vision Language Models Reason Step-by-Step 20/11/2024
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices 19/11/2024
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation 13/11/2024
A Survey of Small Language Models 12/11/2024
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization 11/11/2024
The Llama 3 Herd of Models 10/11/2024
Kolmogorov-Arnold Network (KAN) 09/11/2024
MMIE: MASSIVE MULTIMODAL INTERLEAVED COMPREHENSION BENCHMARK FOR LARGE VISION-LANGUAGE MODELS 08/11/2024
THINKING LLMS: GENERAL INSTRUCTION FOLLOWING WITH THOUGHT GENERATION 07/11/2024
VIT-LENS: Towards Omni-modal Representations 06/11/2024
Parallelizing Linear Transformers with the Delta Rule over Sequence Length 05/11/2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers 04/11/2024
RLEF: GROUNDING CODE LLMS IN EXECUTION FEEDBACK WITH REINFORCEMENT LEARNING 03/11/2024
Paraphrase Types Elicit Prompt Engineering Capabilities 02/11/2024
LaMA-Omni 01/11/2024
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models 31/10/2024
Low-Rank Adaptation (LoRA) 30/10/2024
1 2 3 Siguiente › Última »
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA