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 | 427 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Researchers from METR introduce a novel framework for evaluating AI progress by measuring a model's time horizon, defined as the length of a task a human can complete that an AI can perform with 50% reliability. Traditional benchmarks often fail beca... more
The provided sources explore advanced techniques for optimizing large language model (LLM) inference, specifically by addressing the memory bottlenecks of the Key-Value (KV) cache. KVQuant introduces a high-precision quantization framework that utili... more
The January 29, 2026 research collaboration between Stanford University, SambaNova Systems, Inc and UC Berkeley introduce ACE (Agentic Context Engineering), a novel framework designed to improve how large language models learn and adapt through conte... more
The February 3, 2026 research paper in collaboration between the National University of Singapore, USTC, University of Toronto and the Sea AI Lab introduces Cortex, a specialized caching system designed to address high latency and financial costs in ... more
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Apple Podcasts | #174 |  United Arab Emirates/Technology |
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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 6 months ago and published 427 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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