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Blog: https://arjunnagendran.com/blog/a-primer-on-large-language-models
In this episode of Blogged & Amplified, we dive into the core characteristics that make Large Language Models so powerful (Part 2).
Learn how word vectors, transformers, and massive training datasets enable these models to understand and generate human-like language. We also touch on fine-tuning, prompt engineering, and the mysterious "black box" problem that drives ongoing research and innovation in AI.
Whether you’re new to the field or simply curious about how LLMs work, this episode offers a clear and engaging overview of the technology shaping the future of intelligent systems.
By Arjun NagendranBlog: https://arjunnagendran.com/blog/a-primer-on-large-language-models
In this episode of Blogged & Amplified, we dive into the core characteristics that make Large Language Models so powerful (Part 2).
Learn how word vectors, transformers, and massive training datasets enable these models to understand and generate human-like language. We also touch on fine-tuning, prompt engineering, and the mysterious "black box" problem that drives ongoing research and innovation in AI.
Whether you’re new to the field or simply curious about how LLMs work, this episode offers a clear and engaging overview of the technology shaping the future of intelligent systems.