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This talk attempts to demystify large language models (LLMs) like ChatGPT by exploring their fundamental training processes and internal workings. We will cover how these models are trained on vast amounts of text, how they process and generate language, and what gives them their seemingly magical capabilities. The presentation concludes with practical strategies for effectively using these tools in real-world applications.
Videoconference: https://kth-se.zoom.us/j/69955116658