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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.08406/</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/2401.08406/feed.xml" rel="self" type="application/rss+xml" /><item><title>RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture — mentioned by sigmoid10</title><link>https://news.ycombinator.com/item?id=40037900</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.08406:40037900</guid><pubDate>Mon, 15 Apr 2024 07:43:45 GMT</pubDate><description>&lt;p&gt;See e.g. this paper from Microsoft: https://arxiv.org/abs/2401.08406&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.08406/"&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>RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture — mentioned by rasbt</title><link>https://news.ycombinator.com/item?id=39166951</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.08406:39166951</guid><pubDate>Sun, 28 Jan 2024 16:03:46 GMT</pubDate><description>&lt;p&gt;That&amp;#x27;s a good point. I may briefly mention RAG-like systems and add some literature references on this, but I am bit hesitant to give general advice because it&amp;#x27;s heavily project-dependent in my opinion. It usually also comes down in what form the client has the data and whether referencing from a database or documentation is desired or not. The focus of chapter 6+7 is also instruction-finetuning and alignment rather than finetuning for knowledge. The latter goal is best achieved done via pretraining (as opposed to finetuning) imho. In any case, I just read this interesting case study last…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.08406/"&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>RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture — mentioned by ignoramous</title><link>https://news.ycombinator.com/item?id=39094514</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.08406:39094514</guid><pubDate>Mon, 22 Jan 2024 19:54:47 GMT</pubDate><description>&lt;p&gt;From what I gather, fine-tuning is unreasonably effective [0] because in-context learning really depends on how powerful the underlying model is and just how you do RAG (process queries, retrieve embeddings, rank outcomes, etc [1]). Per this paper I read, fine-tuning may add new domain knowledge (but as another commenter pointed out, knowledge is better represented from data of the pre-training stage) or boost specific knowledge; while RAG is limited to boosting only; nevertheless, both techniques turn out to be similarly capable with different trade-offs [2]. -- [0] Fast.ai: Can Models learn…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.08406/"&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>RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture — HN submission</title><link>https://news.ycombinator.com/item?id=39049081</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.08406:39049081</guid><pubDate>Thu, 18 Jan 2024 22:54:38 GMT</pubDate><description>&lt;p&gt;RAG vs. Fine-Tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.08406/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture — HN submission</title><link>https://news.ycombinator.com/item?id=39040946</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.08406:39040946</guid><pubDate>Thu, 18 Jan 2024 12:33:37 GMT</pubDate><description>&lt;p&gt;RAG vs. Fine-Tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.08406/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
