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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Memory-assisted prompt editing to improve GPT-3 after deployment · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2201.06009/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2201.06009/feed.xml" rel="self" type="application/rss+xml" /><item><title>Memory-assisted prompt editing to improve GPT-3 after deployment — mentioned by kordlessagain</title><link>https://news.ycombinator.com/item?id=34299492</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.06009:34299492</guid><pubDate>Sun, 08 Jan 2023 14:46:04 GMT</pubDate><description>&lt;p&gt;I believe our common desires to establish what is and what is not factual get in the way of innovation. Talking about something isn&amp;#x27;t going to solve the problem. Doing, might: https://arxiv.org/pdf/2201.06009.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.06009/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Memory-assisted prompt editing to improve GPT-3 after deployment — mentioned by axiom92</title><link>https://news.ycombinator.com/item?id=33858920</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.06009:33858920</guid><pubDate>Sun, 04 Dec 2022 22:55:22 GMT</pubDate><description>&lt;p&gt;You are right, it&amp;#x27;s already able to do some of this with codex. It&amp;#x27;s already possible to get some of this effect with codex. The trick is to keep appending the interaction in the prompt (to maintain a memory of sorts). For examples, you can replicate all the prompts here: https://twitter.com/yoavgo/status/1599200756631887872 with prompt + memory. The notebook at https://github.com/madaan/memprompt/blob/main/YoavsPythonPro... shows a demo of this. Some of these ideas were earlier discussed in our work on memory-assisted prompting [1]. [1] https://arxiv.org/pdf/2201.06009.pdf.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.06009/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Memory-assisted prompt editing to improve GPT-3 after deployment — mentioned by axiom92</title><link>https://news.ycombinator.com/item?id=33850332</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.06009:33850332</guid><pubDate>Sun, 04 Dec 2022 03:35:00 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s already possible to get some of this effect with codex. The trick is to keep appending the interaction in the prompt (to maintain a memory of sorts). For examples, you can replicate all the prompts here: https://twitter.com/yoavgo/status/1599200756631887872 with prompt + memory. The notebook at https://github.com/madaan/memprompt/blob/main/YoavsPythonPro... shows a demo of this. Some of these ideas were earlier discussed in our work on memory-assisted prompting [1]. [1] https://arxiv.org/pdf/2201.06009.pdf.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.06009/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Memory-assisted prompt editing to improve GPT-3 after deployment — mentioned by visarga</title><link>https://news.ycombinator.com/item?id=30851512</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.06009:30851512</guid><pubDate>Wed, 30 Mar 2022 04:34:54 GMT</pubDate><description>&lt;p&gt;&amp;quot;Memory assisted prompt editing to improve GPT 3 after deployment&amp;quot; paper: https://arxiv.org/abs/2201.06009 video: https://www.youtube.com/watch?v=gYxJEd3EUKs&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.06009/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
