<\/p>\n\n\n\n
\u6765\u308b2024\u5e747\u670825\u65e5(\u6728\u66dc\u65e5)\u3001\u7acb\u547d\u9928\u5927\u5b66\u30b2\u30fc\u30e0\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\u306b\u3088\u308b2024\u5e74\u5ea6\u7b2c7\u56de\u5b9a\u4f8b\u7814\u7a76\u4f1a\u3092\u5b9f\u65bd\u81f4\u3057\u307e\u3059\u3002\u767a\u8868\u8005\u306f\u3001Pittawat Taveekitworachai\u6c0f\u3067\u3059\u3002\u767b\u9332\u30fb\u53c2\u52a0\u6599\u4e0d\u8981\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3059\u3002\u304a\u8a98\u3044\u5408\u308f\u305b\u306e\u4e0a\u3001\u596e\u3063\u3066\u3054\u53c2\u52a0\u306e\u307b\u3069\u3001\u304a\u5f85\u3061\u3057\u3066\u304a\u308a\u307e\u3059\u3002
The Ritsumeikan Center for Game Studies will hold its seventh workshop
of the 2024 academic year\u00a0on Thursday, July 25, 2024. The presenter will
be Mr. Pittawat Taveekitworachai. Registration is not required, and
there is no participation fee. We look forward to your active participation.
\u25a0\u767a\u8868\u30bf\u30a4\u30c8\u30eb Title
Prompt Engineering for Game Content Generation Using Large Language Models
\u25a0\u767a\u8868\u8005 Presenter
Pittawat Taveekitworachai (GISE, Ritsumeikan University)
https:\/\/scholar.google.com\/citations?user=2CFoP9cAAAAJ&hl=en
\u25a0\u65e5\u6642 Date and Time
7\u670825\u65e5(\u6728\u66dc\u65e5)\u300017:00\uff5e18:30
July 25 (Thu) 17:00-18:30
\u25a0\u5834\u6240 Venue
\u7acb\u547d\u9928\u5927\u5b66\u3000\u5927\u962a\u8328\u6728\u30ad\u30e3\u30f3\u30d1\u30b9\u3000H\u68df\u3000H702\u53f7\u5ba4\u3000\u30a2\u30af\u30bb\u30b9
(https:\/\/www.ritsumei.ac.jp\/accessmap\/oic\/)
Ritsumeikan Osaka Ibaraki Campus, Building H, Room H702\u3000Access
(https:\/\/www.ritsumei.ac.jp\/accessmap\/oic\/)
\u25a0\u6982\u8981 Summary
Large language models (LLMs) are remarkable and versatile across various
domains of applications. However, their performance can vary greatly
depending on how we interact with them. In this talk, we will explore
how we can effectively communicate with LLMs, starting from simple
zero-shot prompting to more advanced techniques like chain-of-thought
prompting. There is an opportunity to implement more complex prompt
engineering approaches, such as tree-of-thought prompting, which
requires programming and demonstrates that prompt engineering is not
simply the crafting of text. This hands-on session utilizes a game
content generation platform as a case study to demonstrate the
effectiveness of prompt engineering. ChatGPT4PCG is a competition aimed
at finding ways to effectively ask LLMs to generate a level of an
instructed target structure. Using the newest resources from the
competition, you will also have a chance to set up and run LLMs locally
on your computer! Finally, we will touch on a broader perspective and
breadth of prompt engineering, and offer some tips on conducting
research involving prompt engineering.
\u25a0\u3053\u306e\u30a4\u30d9\u30f3\u30c8\u306b\u53c2\u52a0\u3059\u308b\u4e88\u5b9a\u304c\u3042\u308b\u5834\u5408\u306f\u3001\u6b21\u306e\u30da\u30fc\u30b8\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002 <\/p>\n\n\n\n
If you plan to attend this event, please visit the following page.
https:\/\/chatgpt4pcg.github.io\/tutorial<\/p>\n","protected":false},"excerpt":{"rendered":"
\u6765\u308b2024\u5e747\u670825\u65e5(\u6728\u66dc\u65e5)\u3001\u7acb\u547d\u9928\u5927\u5b66\u30b2\u30fc\u30e0\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\u306b\u3088\u308b2024\u5e74\u5ea6\u7b2c7\u56de\u5b9a\u4f8b\u7814\u7a76\u4f1a\u3092\u5b9f\u65bd\u81f4\u3057\u307e\u3059\u3002\u767a\u8868\u8005\u306f\u3001Pittawat Taveekitworachai\u6c0f\u3067\u3059\u3002\u767b\u9332\u30fb\u53c2\u52a0\u6599\u4e0d\u8981\u3068 \u7d9a\u304d\u3092\u8aad\u3080\u2026<\/a><\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,3],"tags":[],"class_list":["post-2948","post","type-post","status-publish","format-standard","hentry","category-event","category-seminar"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=\/wp\/v2\/posts\/2948","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2948"}],"version-history":[{"count":2,"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=\/wp\/v2\/posts\/2948\/revisions"}],"predecessor-version":[{"id":2950,"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=\/wp\/v2\/posts\/2948\/revisions\/2950"}],"wp:attachment":[{"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2948"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rcgs.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}