Kevinleary.net<p>Creating Custom AI Models on a Macbook Pro</p><p><a href="https://ift.tt/U02fhSO" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ift.tt/U02fhSO</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/FineTuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FineTuning</span></a> <a href="https://mastodon.social/tags/OpenSourceAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSourceAI</span></a> <a href="https://mastodon.social/tags/MacbookPro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MacbookPro</span></a></p>
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#finetuning
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IB Teguh TM<p>Unlock local AI power! Fine-tune LLM Unsloth Ollama in 7 steps! Boost performance & customize your models. <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/FineTuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FineTuning</span></a> <a href="https://mastodon.social/tags/Unsloth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Unsloth</span></a> <a href="https://mastodon.social/tags/Ollama" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ollama</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p><p><a href="https://teguhteja.id/fine-tune-llm-unsloth-ollama-guide/?utm_source=mastodon&utm_medium=jetpack_social" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">teguhteja.id/fine-tune-llm-uns</span><span class="invisible">loth-ollama-guide/?utm_source=mastodon&utm_medium=jetpack_social</span></a></p>
Irène Langlet<p>En train de commencer à utiliser <a href="https://piaille.fr/tags/calibre" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>calibre</span></a>, et très contente de l'éditeur de métadonnées par lot. Cette fonction "tester le résultat" existe-t-elle sur <a href="https://piaille.fr/tags/Zotero" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zotero</span></a>? Ce serait drôlement pratique, et jusqu'ici je n'en ai pas vu.</p><p>(Certes je reviens d'un colloque où on me parlait de <a href="https://piaille.fr/tags/finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetuning</span></a>, mais je ne suis pas en mesure d'utiliser ça pour nettoyer mes listes. Par contre on m'avait conseillé calibre depuis un bail.)</p>
Hassan Habib<p>Prepping data for AI feels a bit like meal prep…<br>Except your dinner is a .jsonl file and your customer is a llama. 🐪</p><p>I’m learning the ropes of AI training, starting with how to turn raw .txt into structured data for LLMs.</p><p>🎥 How to Feed Your Llama is live:<br><a href="https://www.youtube.com/watch?v=YB9cVyjV9Bo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=YB9cVyjV9B</span><span class="invisible">o</span></a></p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://techhub.social/tags/JSONL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSONL</span></a> <a href="https://techhub.social/tags/FineTuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FineTuning</span></a> <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://techhub.social/tags/LearningInPublic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LearningInPublic</span></a> <a href="https://techhub.social/tags/LLaMA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLaMA</span></a> <a href="https://techhub.social/tags/Mistral" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mistral</span></a></p>
adingbatponder<p>AI question. Say I <a href="https://fosstodon.org/tags/finetune" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetune</span></a> <a href="https://fosstodon.org/tags/llama2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llama2</span></a> by <a href="https://fosstodon.org/tags/finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetuning</span></a> on a text task: </p><p>deciding if a new text contains new information over the original</p><p>and </p><p>label the training sets with: new-information (A) , and no-new-information (not-A)</p><p>how does the <a href="https://fosstodon.org/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> reliably interpret the question: </p><p>Is there new information in this text as compared with the original as uploaded?</p><p>How does a llm make the link to the label given in the training? After all: the labels names could have been just A and not-A ?</p>
Dr. Thompson<p>🎯 No code. No problem. Fine-tune billion-parameter AI models this weekend for under $10 using LoRA!<br>Boost accuracy, slash costs, and launch your custom AI in just 72 hours 🧪💻<br>Read how non-coders are becoming AI builders 👉<br><a href="https://medium.com/@rogt.x1997/the-weekend-project-how-to-fine-tune-ai-models-with-lora-even-if-you-cant-code-575b01099c21" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/the-wee</span><span class="invisible">kend-project-how-to-fine-tune-ai-models-with-lora-even-if-you-cant-code-575b01099c21</span></a><br><a href="https://mastodon.social/tags/LoRA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LoRA</span></a> <a href="https://mastodon.social/tags/NoCodeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NoCodeAI</span></a> <a href="https://mastodon.social/tags/FineTuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FineTuning</span></a> <a href="https://mastodon.social/tags/WeekendProject" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WeekendProject</span></a> <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a><br><a href="https://medium.com/@rogt.x1997/the-weekend-project-how-to-fine-tune-ai-models-with-lora-even-if-you-cant-code-575b01099c21" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/the-wee</span><span class="invisible">kend-project-how-to-fine-tune-ai-models-with-lora-even-if-you-cant-code-575b01099c21</span></a></p>
Erik Jonker<p>Waarom GPT-NL niet zonder mensen kan: ‘de monsterklus van finetuning’<br><a href="https://gpt-nl.nl/nieuws/finetuning/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">gpt-nl.nl/nieuws/finetuning/</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/GPTNL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPTNL</span></a> <a href="https://mastodon.social/tags/finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetuning</span></a></p>
Erik Jonker<p>Good news, a pity that they compared with GPT-3.5 but it will probably also be true for the next generation of models.<br>"Our analysis shows that fine-tuning improves the performance of open-source LLMs, allowing them to match or even surpass zero-shot GPT 3.5 and GPT-4, though still lagging behind fine-tuned GPT<br>3.5. "<br><a href="https://link.springer.com/article/10.1007/s42001-024-00345-9" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.1</span><span class="invisible">007/s42001-024-00345-9</span></a><br><a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetuning</span></a></p>
Toni Aittoniemi<p>Cybertruck, the pro Russia truck!</p><p>PS. <a href="https://mastodon.green/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> screen reading is already actively thwarting political expression.</p><p>Instead of citing the text that’s written in this image word-for-word, the <a href="https://mastodon.green/tags/systemprompts" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systemprompts</span></a> and <a href="https://mastodon.green/tags/finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetuning</span></a> for this MLL instead truncate it as: ”political reasons”.</p><p>This is the ”brave new world” we are stepping into. Machine learning parsing the world into what it’s not.</p>
Markus Eisele<p>[GER] Mit InstructLab zu Large Language Models beitragen <a href="https://www.my-it-brain.de/wordpress/mit-instructlab-zu-large-language-models-beitragen/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">my-it-brain.de/wordpress/mit-i</span><span class="invisible">nstructlab-zu-large-language-models-beitragen/</span></a><br><a href="https://mastodon.online/tags/instructlab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>instructlab</span></a> @instructlab <a href="https://mastodon.online/tags/aiml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aiml</span></a> <a href="https://mastodon.online/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://mastodon.online/tags/finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>finetuning</span></a></p>
Kevin Leibold<p>"Mit dem <a href="https://mastodon.social/tags/Finetuning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Finetuning</span></a> zum <a href="https://mastodon.social/tags/Entwickler" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Entwickler</span></a> i.S.d Art. 3 (I) <a href="https://mastodon.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a>-VO werden?"</p><p><a href="https://www.linkedin.com/pulse/finetuning-stellt-eine-eigene-entwicklung-von-gem-art-hansen-ll-m--cfjqc/?trackingId=u9jjcV3zRJ6mHzblOcp37A%3D%3D" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/pulse/finetuning-</span><span class="invisible">stellt-eine-eigene-entwicklung-von-gem-art-hansen-ll-m--cfjqc/?trackingId=u9jjcV3zRJ6mHzblOcp37A%3D%3D</span></a></p>
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