Generative AI
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๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ€” ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ โ€” ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ณ๐—ฟ๐—ผ๐—บ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ?๐Ÿ˜

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๐Ÿญ. ๐—˜๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป ๐—Ÿ๐—Ÿ๐—  ๐—ณ๐˜‚๐—ป๐—ฑ๐—ฎ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—น๐˜€ - Cover the high-level workings of models like GPT-3, including transformers, pre-training, fine-tuning, etc.

๐Ÿฎ. ๐——๐—ถ๐˜€๐—ฐ๐˜‚๐˜€๐˜€ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด - Talk through techniques like demonstrations, examples, and plain language prompts to optimize model performance.

๐Ÿฏ. ๐—ฆ๐—ต๐—ฎ๐—ฟ๐—ฒ ๐—Ÿ๐—Ÿ๐—  ๐—ฝ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ฒ๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ๐˜€ - Walk through hands-on experiences leveraging models like GPT-4, Langchain, or Vector Databases.

๐Ÿฐ. ๐—ฆ๐˜๐—ฎ๐˜† ๐˜‚๐—ฝ๐—ฑ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ผ๐—ป ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต - Mention latest papers and innovations in few-shot learning, prompt tuning, chain of thought prompting, etc.

๐Ÿฑ. ๐——๐—ถ๐˜ƒ๐—ฒ ๐—ถ๐—ป๐˜๐—ผ ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€ - Compare transformer networks like GPT-3 vs Codex. Explain self-attention, encodings, model depth, etc.

๐Ÿฒ. ๐——๐—ถ๐˜€๐—ฐ๐˜‚๐˜€๐˜€ ๐—ณ๐—ถ๐—ป๐—ฒ-๐˜๐˜‚๐—ป๐—ถ๐—ป๐—ด ๐˜๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—พ๐˜‚๐—ฒ๐˜€ - Explain supervised fine-tuning, parameter efficient fine tuning, few-shot learning, and other methods to specialize pre-trained models for specific tasks.

๐Ÿณ. ๐——๐—ฒ๐—บ๐—ผ๐—ป๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ฒ - From tokenization to embeddings to deployment, showcase your ability to operationalize models at scale.

๐Ÿด. ๐—”๐˜€๐—ธ ๐˜๐—ต๐—ผ๐˜‚๐—ด๐—ต๐˜๐—ณ๐˜‚๐—น ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ - Inquire about model safety, bias, transparency, generalization, etc. to show strategic thinking.

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Inside Generative AI, 2024.epub
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Inside Generative AI
Rick Spair, 2024