AI: post transformers
mcgrofThe 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.
| Publishes | Daily | Episodes | 357 | Founded | 5 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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These sources collectively explore the current landscape and future trajectory of artificial intelligence, specifically focusing on the transition toward human-level reasoning. Renowned scientist Yann LeCun argues that current Large Language Models l... more
On January 12, 2026, a collaboration between the Beijing Academy of Artificial Intelligence, the Gaoling School of Artificial Intelligence, and Renmin University of China introduced MemoBrain. In the paper titled “MemoBrain: Executive Memory as an Ag... more
The collaboration between SAP Labs, France and EURECOM, France published a paper on January 13, 2026 titord "Parallel Context-of-Experts Decoding for Retrieval Augmented Generation". The paper introduces **Parallel Context-of-Experts Decoding (PCED)*... more
The collaboration between Gaoling School of Artificial Intelligence, Renmin University of China published a paper in January 8, 2026 titled "Memory Matters More: Event-Centric Memory as a Logic Map for Agent
Searching and Reasoning" which introduce... more
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Frequently Asked Questions About AI: post transformers
What is AI: post transformers about and what kind of topics does it cover?
Focusing on the evolution and advancements in artificial intelligence, this podcast offers insightful discussions around state-of-the-art research papers that trace their roots back to the transformative transformer architecture. Featuring in-depth analyses of innovative approaches and key developments in neural networks and language models, listeners can expect to engage with complex topics such as reinforcement learning, memory handling, and attention mechanisms. The content frequently features analysis of newly proposed methodologies and frameworks that aim to enhance the performance, efficiency, and capabilities of modern AI systems, making it a valuable resource for both researchers and practitioners in the field.
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1. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
How many episodes of AI: post transformers are there?
AI: post transformers launched 5 months ago and published 357 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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