Future of Language Models
The future landscape of language models is shifting towards more efficient, open-source solutions that could rival proprietary systems. As technology advances, models are expected to become significantly cheaper and faster, potentially transforming how we approach tasks like summarization. There’s also a growing interest in distilling reasoning capabilities from large memorization models, leading to smaller, more adaptable systems that rely more on human context for decision-making.In this clip
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Unsupervised Learning
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