Ep 62: CoreWeave’s new platform lets agents improve themselves between training and inference runs without manual retraining cycles. episode artwork

EPISODE · May 28, 2026 · 10 MIN

Ep 62: CoreWeave’s new platform lets agents improve themselves between training and inference runs without manual retraining cycles.

from Models & Agents

Models & Agents CoreWeave’s new platform lets agents improve themselves between training and inference runs without manual retraining cycles. What You Need to Know: CoreWeave launched a unified agentic platform that closes the training-to-inference gap for continuous autonomous improvement. Perplexity open-sourced a Unigram tokenizer that cuts reranker latency 5x versus Hugging Face. ... AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production.

Episode metadata supplied by the publisher feed · Published May 28, 2026

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Ep 62: CoreWeave’s new platform lets agents improve themselves between training and inference runs without manual retraining cycles.

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