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Funbie Studios ➤ TFNation 2025 (Aug 8-10)Here's a little lore callback for Alchemist Prime and how he was inspired by Maccadam - a spikey lil warhammer! <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%233dprint" target="_blank">#3dprint</a> files now up at <a href="https://www.patreon.com/posts/133569593" rel="nofollow noopener" target="_blank">www.patreon.com/posts/133569593</a> - happy fun adding this to your Alchemist Prime too! . . . . . <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%233dprint" target="_blank">#3dprint</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%233dprinted" target="_blank">#3dprinted</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23transformer" target="_blank">#transformer</a>

HabrЧасть 4: Mamba — State Space Models vs трансформерыMamba — революция в обработке длинных последовательностей! Mamba — State Space Models vs трансформеры, что лучше?!<a href="https://habr.com/ru/articles/925416/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/articles/925416/</a><a href="https://zhub.link/tags/mamba" class="mention hashtag" rel="nofollow noopener" target="_blank">#mamba</a> <a href="https://zhub.link/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> <a href="https://zhub.link/tags/nlp" class="mention hashtag" rel="nofollow noopener" target="_blank">#nlp</a> <a href="https://zhub.link/tags/ssm" class="mention hashtag" rel="nofollow noopener" target="_blank">#ssm</a>

Anime of Japan<a href="https://www.wacoca.com/anime/1863651/" rel="nofollow noopener" translate="no" target="_blank">https://www.wacoca.com/anime/1863651/</a> 【新作ウルトラマンすごすぎ！？】7月5日発売オメガのおもちゃの遊び方を一気に完全紹介！DXオメガスラッガー最強なりきりセットなど【ウルトラマンオメガ】 <a href="https://wakoka.com/tags/2025Summer" class="mention hashtag" rel="nofollow noopener" target="_blank">#2025Summer</a> <a href="https://wakoka.com/tags/2025SummerAnime" class="mention hashtag" rel="nofollow noopener" target="_blank">#2025SummerAnime</a> <a href="https://wakoka.com/tags/2025%E5%B9%B4%E5%A4%8F%E9%96%8B%E5%A7%8B%E3%81%AE%E6%96%B0%E4%BD%9C%E3%82%A2%E3%83%8B%E3%83%A1" class="mention hashtag" rel="nofollow noopener" target="_blank">#2025年夏開始の新作アニメ</a> <a href="https://wakoka.com/tags/Anime" class="mention hashtag" rel="nofollow noopener" target="_blank">#Anime</a> <a href="https://wakoka.com/tags/Candy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Candy</a> <a href="https://wakoka.com/tags/chainese" class="mention hashtag" rel="nofollow noopener" target="_blank">#chainese</a> <a href="https://wakoka.com/tags/hasbro" class="mention hashtag" rel="nofollow noopener" target="_blank">#hasbro</a> <a href="https://wakoka.com/tags/https" class="mention hashtag" rel="nofollow noopener" target="_blank">#https</a>://www.youtube.com/channel/UCUNo0xntGxghrW7TKunOSxA <a href="https://wakoka.com/tags/korea" class="mention hashtag" rel="nofollow noopener" target="_blank">#korea</a> <a href="https://wakoka.com/tags/Review" class="mention hashtag" rel="nofollow noopener" target="_blank">#Review</a> <a href="https://wakoka.com/tags/Toy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Toy</a> <a href="https://wakoka.com/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> <a href="https://wakoka.com/tags/%E3%82%A2%E3%83%8B%E3%83%A1" class="mention hashtag" rel="nofollow noopener" target="_blank">#アニメ</a> <a href="https://wakoka.com/tags/%E3%82%A6%E3%83%AB%E3%83%88%E3%83%A9%E3%83%9E%E3%83%B3%E3%82%AA%E3%83%A1%E3%82%AC" class="mention hashtag" rel="nofollow noopener" target="_blank">#ウルトラマンオメガ</a> <a href="https://wakoka.com/tags/%E3%82%BF%E3%82%AB%E3%83%A9%E3%83%88%E3%83%9F%E3%83%BC" class="mention hashtag" rel="nofollow noopener" target="_blank">#タカラトミー</a> <a href="https://wakoka.com/tags/%E3%83%80%E3%82%AC%E3%83%B3%E3%82%B0" class="mention hashtag" rel="nofollow noopener" target="_blank">#ダガング</a> <a href="https://wakoka.com/tags/%E3%83%88%E3%83%A9%E3%83%B3%E3%82%B9%E3%83%95%E3%82%A9%E3%83%BC%E3%83%9E%E3%83%BC" class="mention hashtag" rel="nofollow noopener" target="_blank">#トランスフォーマー</a> <a href="https://wakoka.com/tags/%E4%B8%AD%E5%9B%BD" class="mention hashtag" rel="nofollow noopener" target="_blank">#中国</a> <a href="https://wakoka.com/tags/%E5%90%88%E4%BD%93" class="mention hashtag" rel="nofollow noopener" target="_blank">#合体</a> <a href="https://wakoka.com/tags/%E5%A4%89%E5%BD%A2" class="mention hashtag" rel="nofollow noopener" target="_blank">#変形</a> <a href="https://wakoka.com/tags/%E6%96%B0%E4%BD%9C%E3%82%A2%E3%83%8B%E3%83%A1" class="mention hashtag" rel="nofollow noopener" target="_blank">#新作アニメ</a> <a href="https://wakoka.com/tags/%E9%9F%93%E5%9B%BD" class="mention hashtag" rel="nofollow noopener" target="_blank">#韓国</a> <a href="https://wakoka.com/tags/%E9%A3%9F%E7%8E%A9" class="mention hashtag" rel="nofollow noopener" target="_blank">#食玩</a> <a href="https://wakoka.com/tags/%E9%A7%84%E7%8E%A9%E5%85%B7" class="mention hashtag" rel="nofollow noopener" target="_blank">#駄玩具</a>

Hacker NewsWe reimagined Transformer architectures inspired by nature's hidden structures<a href="https://ieeexplore.ieee.org/document/10754699" rel="nofollow noopener" translate="no" target="_blank">https://ieeexplore.ieee.org/document/10754699</a><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a> <a href="https://mastodon.social/tags/Architectures" class="mention hashtag" rel="nofollow noopener" target="_blank">#Architectures</a> <a href="https://mastodon.social/tags/Nature" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nature</a> <a href="https://mastodon.social/tags/Inspired" class="mention hashtag" rel="nofollow noopener" target="_blank">#Inspired</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/Hidden" class="mention hashtag" rel="nofollow noopener" target="_blank">#Hidden</a> <a href="https://mastodon.social/tags/Structures" class="mention hashtag" rel="nofollow noopener" target="_blank">#Structures</a>

HabrЧасть 3: Diffusion Transformer (DiT) — Stable Diffusion 3 как она естьВ этой статье погрузимся в мир генерации изображений с Diffusion Transformer (DiT) — сердцем Stable Diffusion 3. Разберем как она устроена и как работает<a href="https://habr.com/ru/articles/924410/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/articles/924410/</a><a href="https://zhub.link/tags/stable_diffusion" class="mention hashtag" rel="nofollow noopener" target="_blank">#stable_diffusion</a> <a href="https://zhub.link/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> <a href="https://zhub.link/tags/diffusion" class="mention hashtag" rel="nofollow noopener" target="_blank">#diffusion</a> <a href="https://zhub.link/tags/vae" class="mention hashtag" rel="nofollow noopener" target="_blank">#vae</a>

Arthur Hau, PhD🐶🐱🌱🎵🦣It is hard to work with LLMs as they have message length limits and window length limits. The current <a href="https://tribe.net/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a> model is highly inefficient in that for every conversation over 100,000 tokens are being processed and held in the memory of an <a href="https://tribe.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a>. As the conversation progresses, some old bits of information are replaced by new chat bits. As my <a href="https://tribe.net/tags/browser" class="mention hashtag" rel="nofollow noopener" target="_blank">#browser</a> dashboard project grows, it is getting very difficult to communicate with <a href="https://tribe.net/tags/Claude4" class="mention hashtag" rel="nofollow noopener" target="_blank">#Claude4</a> <a href="https://tribe.net/tags/Sonnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#Sonnet</a>. It is all about project <a href="https://tribe.net/tags/management" class="mention hashtag" rel="nofollow noopener" target="_blank">#management</a>. <a href="https://tribe.net/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLMs</a> <a href="https://tribe.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a>

Arthur Hau, PhD🐶🐱🌱🎵🦣<a href="https://tribe.net/tags/Claude4" class="mention hashtag" rel="nofollow noopener" target="_blank">#Claude4</a> <a href="https://tribe.net/tags/Sonnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#Sonnet</a> just created a pdf editor inside our <a href="https://tribe.net/tags/ICandy" class="mention hashtag" rel="nofollow noopener" target="_blank">#ICandy</a> <a href="https://tribe.net/tags/browser" class="mention hashtag" rel="nofollow noopener" target="_blank">#browser</a> dashboard. Now, I can double click a <a href="https://tribe.net/tags/pdf" class="mention hashtag" rel="nofollow noopener" target="_blank">#pdf</a> <a href="https://tribe.net/tags/Ebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#Ebook</a> in my <a href="https://tribe.net/tags/ELibrary" class="mention hashtag" rel="nofollow noopener" target="_blank">#ELibrary</a> module in ICandy. It will be displayed inside ICandy for me to read, highlight, and add note annotation to the ebook. <a href="https://tribe.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://tribe.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://tribe.net/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLMs</a> It is not easy to work with LLMs or other AIs. However, it is not difficult either. You only need to know some basic computer operations and the theory behind the current <a href="https://tribe.net/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> <a href="https://tribe.net/tags/CNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#CNN</a> LLM models.

HabrЧасть 2: Vision Transformer (ViT) — Когда трансформеры научились видетьПредставьте, что лингвист внезапно стал экспертом по живописи. Именно это произошло в 2020 году, когда архитектура для обработки текста — трансформеры — научилась "видеть" изображения. Vision Transformer (ViT) доказал: для понимания картинок не обязательны свёртки! Разберем "на пальцах" как она устроена и как изображения превращаются в предсказания.<a href="https://habr.com/ru/articles/922868/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/articles/922868/</a><a href="https://zhub.link/tags/visual_transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#visual_transformer</a> <a href="https://zhub.link/tags/vit" class="mention hashtag" rel="nofollow noopener" target="_blank">#vit</a> <a href="https://zhub.link/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> <a href="https://zhub.link/tags/computervision" class="mention hashtag" rel="nofollow noopener" target="_blank">#computervision</a> <a href="https://zhub.link/tags/%D1%80%D0%B0%D0%B7%D0%B1%D0%BE%D1%80_%D1%81%D1%82%D0%B0%D1%82%D1%8C%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#разбор_статьи</a>

hideosnesThe following line made my day:<code> let foo = writable<bar() | null>(null) </code>Henceforth, I declare, feeling keen kinship with the level of anal retentiveness of typescript.<a href="https://fedi.at/tags/improving" class="mention hashtag" rel="nofollow noopener" target="_blank">#improving</a> <a href="https://fedi.at/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> <a href="https://fedi.at/tags/js" class="mention hashtag" rel="nofollow noopener" target="_blank">#js</a> <a href="https://fedi.at/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://fedi.at/tags/code" class="mention hashtag" rel="nofollow noopener" target="_blank">#code</a> with <a href="https://fedi.at/tags/safeCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#safeCode</a>

InfoQTired of <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> search hallucinations?The root cause often lies in the architecture behind most AI models: the <a href="https://techhub.social/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a>.In this <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#InfoQ</a> article, Albert Lie explains how <a href="https://techhub.social/tags/StateSpaceModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#StateSpaceModels</a> (<a href="https://techhub.social/tags/SSMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#SSMs</a>) can fix this, and what it could mean for the future of AI search.Read now: <a href="https://bit.ly/4l57iQt" rel="nofollow noopener" translate="no" target="_blank">https://bit.ly/4l57iQt</a> <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLMs</a>

Christian MayerXSLT — <a href="https://github.com/pacocoursey/xslt" rel="nofollow noopener" translate="no" target="_blank">https://github.com/pacocoursey/xslt</a><a href="https://mastodon.social/tags/XML" class="mention hashtag" rel="nofollow noopener" target="_blank">#XML</a> <a href="https://mastodon.social/tags/XSLT" class="mention hashtag" rel="nofollow noopener" target="_blank">#XSLT</a> <a href="https://mastodon.social/tags/HTML" class="mention hashtag" rel="nofollow noopener" target="_blank">#HTML</a> <a href="https://mastodon.social/tags/JSON" class="mention hashtag" rel="nofollow noopener" target="_blank">#JSON</a> <a href="https://mastodon.social/tags/Markdown" class="mention hashtag" rel="nofollow noopener" target="_blank">#Markdown</a> <a href="https://mastodon.social/tags/plaintext" class="mention hashtag" rel="nofollow noopener" target="_blank">#plaintext</a> <a href="https://mastodon.social/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a>

:rss: Qiita - 人気の記事GPTのしくみ入門：AIはどのように言葉を「理解」し、「生み出している」のか？ <a href="https://qiita.com/KYoshiyama/items/d86ae5afc29650f0b924?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items" rel="nofollow noopener" translate="no" target="_blank">https://qiita.com/KYoshiyama/items/d86ae5afc29650f0b924?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items</a><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener" target="_blank">#qiita</a> <a href="https://rss-mstdn.studiofreesia.com/tags/word2vec" class="mention hashtag" rel="nofollow noopener" target="_blank">#word2vec</a> <a href="https://rss-mstdn.studiofreesia.com/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a> <a href="https://rss-mstdn.studiofreesia.com/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#ChatGPT</a> <a href="https://rss-mstdn.studiofreesia.com/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://rss-mstdn.studiofreesia.com/tags/ContextualEmbedding" class="mention hashtag" rel="nofollow noopener" target="_blank">#ContextualEmbedding</a>

Robotics<a href="https://mastodon.world/tags/Drone" class="mention hashtag" rel="nofollow noopener" target="_blank">#Drone</a> car 🚗 <a href="https://mastodon.world/tags/robot" class="mention hashtag" rel="nofollow noopener" target="_blank">#robot</a> <a href="https://www.youtube.com/watch?v=5w7pl7xQGKM" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=5w7pl7xQGKM</a><a href="https://mastodon.world/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a>

Arthur Hau, PhD🐶🐱🌱🎵🦣How good is <a href="https://tribe.net/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#Google</a> 's <a href="https://tribe.net/tags/Gemma" class="mention hashtag" rel="nofollow noopener" target="_blank">#Gemma</a> 3 12b small <a href="https://tribe.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://tribe.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> running on <a href="https://tribe.net/tags/LMStudio" class="mention hashtag" rel="nofollow noopener" target="_blank">#LMStudio</a> running on my i9 rtx 4060 Dell <a href="https://tribe.net/tags/laptop" class="mention hashtag" rel="nofollow noopener" target="_blank">#laptop</a>? I would say it is a very good <a href="https://tribe.net/tags/Japanese" class="mention hashtag" rel="nofollow noopener" target="_blank">#Japanese</a> <a href="https://tribe.net/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#learning</a> companion. Most LLMs are using very similar <a href="https://tribe.net/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> models. The differences between these smaller models can be significant because of their training data. They cannot train like large LLMs because of their small sizes. I told Gemma 3 to create a short story in Japanese and to follow up with its English translation.

HabrРазработка LLM с нуляКраткий обзор курса, который я недавно закончил пилить на степике - Разработка LLM с нуля . Этот практический курс, на котором вам предстоит создать с нуля свою собственную LLM: начиная с токенизатора и заканчивая генерацией текста. Для разработки будут использоваться только Python и низкоуровневый PyTorch, не полагаясь на какие-либо высокоуровневые библиотеки. Курс платный. Следующие две недели по промокоду FIRST предоставляется скидка 50%.<a href="https://habr.com/ru/articles/918568/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/articles/918568/</a><a href="https://zhub.link/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#llm</a> <a href="https://zhub.link/tags/gpt" class="mention hashtag" rel="nofollow noopener" target="_blank">#gpt</a> <a href="https://zhub.link/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a>

50+ Music"Walk on the Wild Side" is a song by American <a href="https://mastodon.online/tags/rock" class="mention hashtag" rel="nofollow noopener" target="_blank">#rock</a> musician <a href="https://mastodon.online/tags/LouReed" class="mention hashtag" rel="nofollow noopener" target="_blank">#LouReed</a> from his second solo studio album, <a href="https://mastodon.online/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a> (1972). It was produced by <a href="https://mastodon.online/tags/DavidBowie" class="mention hashtag" rel="nofollow noopener" target="_blank">#DavidBowie</a> and <a href="https://mastodon.online/tags/MickRonson" class="mention hashtag" rel="nofollow noopener" target="_blank">#MickRonson</a> and released as a <a href="https://mastodon.online/tags/doubleAside" class="mention hashtag" rel="nofollow noopener" target="_blank">#doubleAside</a> with "<a href="https://mastodon.online/tags/PerfectDay" class="mention hashtag" rel="nofollow noopener" target="_blank">#PerfectDay</a>". Known as a counterculture anthem, the song received heavy radio play and became Reed's biggest hit and <a href="https://mastodon.online/tags/signatureSong" class="mention hashtag" rel="nofollow noopener" target="_blank">#signatureSong</a> while touching on topics considered taboo at the time, such as <a href="https://mastodon.online/tags/transgender" class="mention hashtag" rel="nofollow noopener" target="_blank">#transgender</a> people, <a href="https://mastodon.online/tags/drugs" class="mention hashtag" rel="nofollow noopener" target="_blank">#drugs</a>, <a href="https://mastodon.online/tags/maleProstitution" class="mention hashtag" rel="nofollow noopener" target="_blank">#maleProstitution</a>, and <a href="https://mastodon.online/tags/oralSex" class="mention hashtag" rel="nofollow noopener" target="_blank">#oralSex</a>. <a href="https://www.youtube.com/watch?v=3wffYJ5URPE" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=3wffYJ5URPE</a>

Hacker NewsJavelinGuard: Low-Cost Transformer Architectures for LLM Security<a href="https://arxiv.org/abs/2506.07330" rel="nofollow noopener" translate="no" target="_blank">https://arxiv.org/abs/2506.07330</a><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/JavelinGuard" class="mention hashtag" rel="nofollow noopener" target="_blank">#JavelinGuard</a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/Security" class="mention hashtag" rel="nofollow noopener" target="_blank">#Security</a> <a href="https://mastodon.social/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a> <a href="https://mastodon.social/tags/Architecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#Architecture</a> <a href="https://mastodon.social/tags/LowCost" class="mention hashtag" rel="nofollow noopener" target="_blank">#LowCost</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#Research</a>

AnthropyML, AI, LLM from absolute scratch with own data and solar power

𝕒𝕓𝕕𝕖𝕣𝕘𝕠Ein tiefgehender Leitfaden zum Training von Transformer-Modellen von Grund auf,inklusive Datensatzkuration,Erstellung eines benutzerdefinierten Tokenizers und Multi-GPU-Training mit PyTorch Accelerate. Fokus auf einem Python-Code-Generierungsmodell mit GitHub-Daten,unter Berücksichtigung von Herausforderungen wie Bias und Skalierung. Praktische Beispiele für Code-Generierung und Bewertung betonen die Bedeutung domänenspezifischer Tokenisierung. <a href="https://mastodon.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#KI</a> <a href="https://mastodon.social/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener" target="_blank">#MaschinellesLernen</a> <a href="https://mastodon.social/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Transformer</a>

疲倦的森林仍有群鸟扑翅如千百万个蝴蝶破茧而出<a href="https://fedibird.com/tags/senart" class="mention hashtag" rel="nofollow noopener" target="_blank">#senart</a> <a href="https://fedibird.com/tags/opm" class="mention hashtag" rel="nofollow noopener" target="_blank">#opm</a> <a href="https://fedibird.com/tags/OPMEG" class="mention hashtag" rel="nofollow noopener" target="_blank">#OPMEG</a> <a href="https://fedibird.com/tags/%E6%93%8E%E5%A8%81" class="mention hashtag" rel="nofollow noopener" target="_blank">#擎威</a> <a href="https://fedibird.com/tags/transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#transformer</a> 此女被群友提醒随手存的表情包是对家画的于是提笔怒画：

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