INNOQ<p>Wie können wir sicherstellen, dass KI-Systeme präzise, nachvollziehbar und auf dem neuesten Stand bleiben?</p><p>Morgen beim <a href="https://innoq.social/tags/INNOQTechnologyLunch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>INNOQTechnologyLunch</span></a> erklärt Robert Glaser, wie <a href="https://innoq.social/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> dazu beiträgt, Wissenslücken zu schließen und die Genauigkeit generativer KI zu verbessern – durch gezielte Erweiterung mit echten Daten. </p><p>🗓️ 2. April<br>🕛 12:15 CET</p><p>Link im Kommentar 👇</p>
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#rag
15 posts · 14 participants · 2 posts today
Habr<p>RAG, два, три… (как пользоваться RAG в 1С)</p><p>В библиотеке искусственного интеллекта для 1С появилась поддержка RAG (Retrieval Augmented Generation). Что такое библиотека искусственного интеллекта для 1С, что такое RAG и как этим пользоваться совместно</p><p><a href="https://habr.com/ru/articles/896314/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/896314/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/%D0%B8%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>искусственный_интеллект</span></a> <a href="https://zhub.link/tags/1%D1%81" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>1с</span></a> <a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a></p>
T0ha<p>Как я победил в RAG Challenge: от нуля до SoTA за один конкурс</p><p>Tags: <a href="https://mastodon.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a>, <a href="https://mastodon.social/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a></p><p> <a href="https://ift.tt/ziKxmAE" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ift.tt/ziKxmAE</span><span class="invisible"></span></a></p>
Simon Dückert<p>Ich mache mal folgenden Test: ich ziehe mit eine Kopie einer kompletten Website (ca. 4.000 Einzeldateien) und lade die dann als <a href="https://colearn.social/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> in <a href="https://colearn.social/tags/GPT4all" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT4all</span></a>, um mit der Website zu "sprechen" - quasi ein lokaler <a href="https://colearn.social/tags/Chatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Chatbot</span></a>. Hat jemand Erfahrungen mit solchen Setups?</p>
FSMK<p>Few clicks from our <a href="https://mastodon.social/tags/DevDays" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DevDays</span></a> session on "The Power of <a href="https://mastodon.social/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> in Question Answering Systems!" 🚀💡</p><p>Exploring how *Retrieval-Augmented Generation* is revolutionizing AI-driven Q&A with practical, hands-on learning! 🔍🤖</p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FOSS</span></a> <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/AICommunity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AICommunity</span></a> <a href="https://mastodon.social/tags/Developers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Developers</span></a> <a href="https://mastodon.social/tags/TechTalk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechTalk</span></a> <a href="https://mastodon.social/tags/Bangalore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bangalore</span></a> <a href="https://mastodon.social/tags/Bengaluru" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bengaluru</span></a> <a href="https://mastodon.social/tags/BangaloreEvents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BangaloreEvents</span></a></p>
Habr<p>Продуктовый поиск на ElasticSearch</p><p>Из‑за санкций, эластик многие стали отвергать. Единственное, что его спасает, это RAG'и шмаги. Я первую работу выбрала в поисковом отделе, для меня это было гораздо «сексуальнее», чем datascience, с которым я была уже знакома. 8 лет назад начала изучать эластик. Наработалась «интуиция» на его функционал, так как с нуля я делала поиск для других компаний несколько раз. Поиск текстовый, GEO поиск, подсказки для поиска (suggester) и с МЛ'ем которым майнились синонимы или кластеризовались запросы. Открыть</p><p><a href="https://habr.com/ru/articles/895606/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/895606/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/elasticsearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>elasticsearch</span></a> <a href="https://zhub.link/tags/fuzzy_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fuzzy_search</span></a> <a href="https://zhub.link/tags/%D0%BF%D0%BE%D0%B8%D1%81%D0%BA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>поиск</span></a> <a href="https://zhub.link/tags/elk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>elk</span></a> <a href="https://zhub.link/tags/%D0%BF%D1%80%D0%BE%D0%B4%D1%83%D0%BA%D1%82%D0%BE%D0%B2%D1%8B%D0%B9_%D0%BF%D0%BE%D0%B4%D1%85%D0%BE%D0%B4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>продуктовый_подход</span></a> <a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a></p>
Habr<p>Галлюцинации в языковых моделях: виды, причины и способы уменьшения</p><p>Всем привет, меня зовут Алена, я являюсь ML-специалистом в SimbirSoft. В этой статье я хочу рассказать о галлюцинациях больших языковых моделей, а именно о том, как их оценить и минимизировать. Большие языковые модели (далее LLM) становятся мощными инструментами для предприятий, стремящихся оптимизировать операции, улучшить качество обслуживания клиентов и получить ценную информацию. Но одной из ключевых проблем в работе с ними являются галлюцинации моделей – это генерация информации, которая не соответствуют действительности. В связи с этим к LLM падает доверие, а также накладывается ограничение на применение там, где достоверная информация критически необходима, например, в медицине.</p><p><a href="https://habr.com/ru/companies/simbirsoft/articles/895012/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/simbirso</span><span class="invisible">ft/articles/895012/</span></a></p><p><a href="https://zhub.link/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://zhub.link/tags/%D0%B8%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>искусственный_интеллект</span></a> <a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/%D0%B1%D0%BE%D0%BB%D1%8C%D1%88%D0%B8%D0%B5_%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D1%8B%D0%B5_%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>большие_языковые_модели</span></a> <a href="https://zhub.link/tags/%D0%B8%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ии</span></a></p>
Doug Ortiz<p>New tutorial drop! 🔍 "Querying PostgreSQL using Vanna.ai's RAG"</p><p>Learn how to implement Retrieval Augmented Generation to transform how you interact with your PostgreSQL databases. </p><p>This approach bridges the gap between natural language and SQL queries.</p><p>Watch now: <a href="https://link.illustris.org/qrypgvrag" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">link.illustris.org/qrypgvrag</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/PostgreSQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PostgreSQL</span></a> <a href="https://mastodon.social/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> <a href="https://mastodon.social/tags/VannaAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VannaAI</span></a> <a href="https://mastodon.social/tags/DataTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataTech</span></a></p>
Alvin Ashcraft<p>Understand Retrieval Augmented Generation in Under 8 Minutes with Michael Jolley.
<a href="https://www.youtube.com/watch?v=DUCW0Aeo1AI" rel="nofollow noopener noreferrer" target="_blank">www.youtube.com/watch?v=DUCW...</a>
<a class="hashtag" href="https://bsky.app/search?q=%23ai" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a class="hashtag" href="https://bsky.app/search?q=%23rag" rel="nofollow noopener noreferrer" target="_blank">#rag</a><br><br><a href="https://www.youtube.com/watch?v=DUCW0Aeo1AI" rel="nofollow noopener noreferrer" target="_blank">Understand Retrieval Augmented...</a></p>
Alvin Ashcraft 🐿️<p>Understand Retrieval Augmented Generation in Under 8 Minutes with Michael Jolley.</p><p><a href="https://www.youtube.com/watch?v=DUCW0Aeo1AI" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=DUCW0Aeo1A</span><span class="invisible">I</span></a></p><p><a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://hachyderm.io/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a></p>
:rss: Qiita - 人気の記事<p>生成AIを活かすには埋め込みの理解から！RAGの心臓：埋め込みの基礎から応用まで！<br><a href="https://qiita.com/yuji-arakawa/items/a66d1605b06b779f8f1f?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/yuji-arakawa/items/a</span><span class="invisible">66d1605b06b779f8f1f?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/oracle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>oracle</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/oci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>oci</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a></p>
Harry W.<p>I'm now looking at RAG (Retrival Augmented Generation) today with <a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="tag">#<span>AI</span></a> - first bit of "serious" programming I've done with it. <br />I wonder if this will open the box on why everyone is so excited 🤔</p><p><a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="tag">#<span>AI</span></a> <a href="https://mstdn.social/tags/Tech" class="mention hashtag" rel="tag">#<span>Tech</span></a> <a href="https://mstdn.social/tags/RAG" class="mention hashtag" rel="tag">#<span>RAG</span></a> <a href="https://mstdn.social/tags/code" class="mention hashtag" rel="tag">#<span>code</span></a> <a href="https://mstdn.social/tags/programming" class="mention hashtag" rel="tag">#<span>programming</span></a></p>
Habr<p>Как AI-агенты ускоряют работу девелопера: автоматизация данных и управление знаниями</p><p>Привет! На связи команда NDT by red_mad_robot . Рассказываем, как создавали смарт-платформу с двумя AI-агентами для группы компаний ФСК — одного из крупнейших российских девелоперов. Система автоматизировала работу с данными и значительно снизила нагрузку на сотрудников технической поддержки и коммерческого департамента.</p><p><a href="https://habr.com/ru/companies/redmadrobot/articles/892882/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/redmadro</span><span class="invisible">bot/articles/892882/</span></a></p><p><a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/ai%D0%B0%D0%B3%D0%B5%D0%BD%D1%82%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>aiагенты</span></a> <a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://zhub.link/tags/ragas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ragas</span></a> <a href="https://zhub.link/tags/%D0%B8%D0%B8%D0%B0%D1%81%D1%81%D0%B8%D1%81%D1%82%D0%B5%D0%BD%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ииассистент</span></a></p>
Habr<p>AI агенты — клоны сотрудников (часть 3)</p><p>Итак, я прошел длинный путь создания RAG с нуля , и начал делать AI агентов для нашей компании. По технологиям испробовал:</p><p><a href="https://habr.com/ru/articles/894554/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/894554/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/ai_agent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai_agent</span></a> <a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/%D0%B1%D0%B8%D0%B7%D0%BD%D0%B5%D1%81%D0%BF%D1%80%D0%BE%D1%86%D0%B5%D1%81%D1%81%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>бизнеспроцессы</span></a> <a href="https://zhub.link/tags/%D1%87%D0%B0%D1%82%D0%B1%D0%BE%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>чатбот</span></a></p>
:rss: 窓の杜<p>生成AIを活用するならRAGも使いこなそう！ ～ChatGPT＆Claudeのプロジェクト、GoogleのNotebook LM、どれを選ぶ？【柳谷智宣のAI ウォッチ！】<br><a href="https://forest.watch.impress.co.jp/docs/serial/yaaiwatch/1672414.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">forest.watch.impress.co.jp/doc</span><span class="invisible">s/serial/yaaiwatch/1672414.html</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/forest_watch_impress" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forest_watch_impress</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E7%94%9F%E6%88%90AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>生成AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Claude" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Claude</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Notebook_LM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Notebook_LM</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/genai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genai</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E6%96%87%E7%AB%A0%E7%94%9F%E6%88%90" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>文章生成</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E3%81%9D%E3%81%AE%E4%BB%96" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>その他</span></a></p>
Thinking ElixirNews includes Plug v1.17.0 with dark mode, a Phoenix PR for co-located hooks, a new <a class="hashtag" href="https://genserver.social/tag/rag" rel="nofollow noopener noreferrer" target="_blank">#RAG</a> library for <a class="hashtag" href="https://genserver.social/tag/llms" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a>, the Autumn syntax highlighter, an Elixir-built <a class="hashtag" href="https://genserver.social/tag/youtube" rel="nofollow noopener noreferrer" target="_blank">#YouTube</a> downloader, and more! <span class="h-card"><a class="u-url mention" href="https://bird.makeup/users/elixirlang" rel="nofollow noopener noreferrer" target="_blank">@<span>elixirlang</span></a></span> <a class="hashtag" href="https://genserver.social/tag/elixirlang" rel="nofollow noopener noreferrer" target="_blank">#ElixirLang</a> <a href="https://www.youtube.com/watch?v=G6RfWT8ihJM" rel="nofollow noopener noreferrer" target="_blank">https://www.youtube.com/watch?v=G6RfWT8ihJM</a>
Habr<p>UUIDv7 — ключ к глобальному поиску с помощью LLM в произвольных внешних системах</p><p>Представим себе такой сценарий. Пользователь устно и/или в чате поручает ИИ-агенту найти и приобрести нужный товар с заданными параметрами. ИИ-агент в разговоре уточняет у пользователя задание, составляет описание товара и на его основе формирует запрос к поисковой системе... а затем ищет товар в базах данных поставщиков. Как это реализовать</p><p><a href="https://habr.com/ru/articles/893536/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/893536/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://zhub.link/tags/UUIDv7" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UUIDv7</span></a> <a href="https://zhub.link/tags/%D0%B8%D0%B8%D0%B0%D0%B3%D0%B5%D0%BD%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ииагент</span></a> <a href="https://zhub.link/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> <a href="https://zhub.link/tags/MCP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MCP</span></a> <a href="https://zhub.link/tags/%D0%B1%D0%B4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>бд</span></a> <a href="https://zhub.link/tags/schemaorg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>schemaorg</span></a> <a href="https://zhub.link/tags/%D0%BA%D0%BB%D1%8E%D1%87" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ключ</span></a> <a href="https://zhub.link/tags/%D1%81%D0%BD%D0%B8%D0%BF%D0%BF%D0%B5%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>сниппет</span></a></p>
cassandroid אַנטיפֿאַ<p>I know all the programmers are over at Nazi Bro Twitter, but I have a question regarding <a class="hashtag" href="https://bsky.app/search?q=%23Claude" rel="nofollow noopener noreferrer" target="_blank">#Claude</a> 3.7.
Where to put rules best so that Claude actually reads them ( <a class="hashtag" href="https://bsky.app/search?q=%23RAG" rel="nofollow noopener noreferrer" target="_blank">#RAG</a> problems I think):
- in the input field
- in the project instructions
- in profile response preferences
<a class="hashtag" href="https://bsky.app/search?q=%23LLM" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> <a class="hashtag" href="https://bsky.app/search?q=%23programming" rel="nofollow noopener noreferrer" target="_blank">#programming</a> 1/2</p>
:rss: Qiita - 人気の記事<p>【イベントレポート】RAGの基礎から実践運用まで：AWS BedrockとLangfuseで実現する構築・監視・評価 <a href="https://rss-mstdn.studiofreesia.com/tags/CDLE%E7%A6%8F%E5%B2%A1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CDLE福岡</span></a><br><a href="https://qiita.com/mob_engineer/items/2a43a893141784ed6472?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/mob_engineer/items/2</span><span class="invisible">a43a893141784ed6472?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E5%88%9D%E5%BF%83%E8%80%85%E5%90%91%E3%81%91" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>初心者向け</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E3%82%A4%E3%83%99%E3%83%B3%E3%83%88%E3%83%AC%E3%83%9D%E3%83%BC%E3%83%88" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>イベントレポート</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/CDLE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CDLE</span></a></p>
:rss: DevelopersIO<p>Generative AI Use Cases JP (GenU)を使ってRAGを体験してみよう（KnowledgeBases編）<br><a href="https://dev.classmethod.jp/articles/generative-ai-use-cases-jp-handson-kb-rag/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dev.classmethod.jp/articles/ge</span><span class="invisible">nerative-ai-use-cases-jp-handson-kb-rag/</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/dev_classmethod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dev_classmethod</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Amazon_Bedrock" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Amazon_Bedrock</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AWS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AWS</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E7%94%9F%E6%88%90AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>生成AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a></p>
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