From d2d9338d2eb444c69fffd89b46df7a86c50bb823 Mon Sep 17 00:00:00 2001 From: solana Date: Sun, 30 Mar 2025 18:04:21 +0000 Subject: [PATCH] Update Enigmatic $333M Bitcoin Transaction Shakes Prominent US Exchange --- ...333M-Bitcoin-Transaction-Shakes-Prominent-US-Exchange.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/Enigmatic-%24333M-Bitcoin-Transaction-Shakes-Prominent-US-Exchange.md b/Enigmatic-%24333M-Bitcoin-Transaction-Shakes-Prominent-US-Exchange.md index 0d3e09e..4938376 100644 --- a/Enigmatic-%24333M-Bitcoin-Transaction-Shakes-Prominent-US-Exchange.md +++ b/Enigmatic-%24333M-Bitcoin-Transaction-Shakes-Prominent-US-Exchange.md @@ -11,7 +11,9 @@ LLMs cannot access external databases or the internet to verify facts. They rely Bias in Training Data : If the training data contains biases, inaccuracies, or conflicting information, the model may reproduce these errors, even if they are untrue. + [npL1](https://nnp.library.wustl.edu/concern/articles/5eff68db-b9ae-4439-b75b-d1a4e7a43ef6?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/118d31c7-72b1-445c-9345-47cb2592d995?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/0a561d06-0774-48d4-8246-14c4df3ccb7e?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/b9a3ca93-713e-40c0-a615-79ce5cb5dedb?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/79f511a5-9b64-4540-884f-80eecb54efb0?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/94874489-667c-4f79-97b6-951ce9d71d04?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/e2d650d2-922f-4b9d-bb13-10475b992f2d?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/6a015c66-671c-4a95-ad54-3fb4d2637c1f?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/d186eca8-5d7f-43a3-a78c-176aaead8f08?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/33efb6ad-b1a6-4112-b97e-c8b6a71ce623?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/9a1454e9-791b-49b7-80bf-d2373b431cb1?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/ff24988c-fecc-452b-8927-e452b291edf6?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/be0c76ea-d07c-4483-95f8-9dfa964f5d31?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/324cdfbd-1d69-48f6-adc0-7e14bb306704?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/2440c1cf-11b8-4577-b7b9-a4bc98924199?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/8175befa-9e71-4ea5-8f5e-50bcd2b53efc?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/1f2a64ec-f85a-47e2-8efd-75cefce4c597?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/a416736e-548d-4e2b-b729-856317ecc67c?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/635b90a5-7455-4920-af4e-7b8662a6ce4e?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/6b4efd57-9bfc-44d9-87ab-0d7bd44aa44b?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/23fc047a-a47b-4ba7-b022-e9e062e09616?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/fea21df9-604d-473a-8e97-a112e973029d?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/bddd4b24-f996-4d2c-b9e2-350c7b1e5665?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/80321f42-a6fe-4f0e-a600-e3d3f674632c?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/fec3dda3-4444-469a-a224-1437517d55c9?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/cef4f85b-8865-425c-9a2d-8b0c419e861c?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/39a41f20-b5a2-48a7-a82f-7ead26e724c5?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/0fbdc8b9-bc8f-4849-a126-051358c80407?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/c6593334-204e-4b49-b0b1-557c83e2e21a?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/ec2a17fe-eb42-43ab-a5e7-9cfb0b2013b0?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/16f59bbc-1a0a-42ba-9b81-81883fc51eea?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/42b7aeb2-3fea-4dce-9937-ba8503ce5e1e?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/5c81d9de-3a52-4dcf-8795-1794ee4b4a0a?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/78dd84da-09ad-428d-9f5a-94d1c2fe67f9?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/337f3c49-45af-4316-ba42-1c79bf10359f?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/10072cd0-ec5b-4659-b0fa-e8771b41bf7a?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/4f9d84ef-d3ef-4d02-b8c9-6c6cb412c5f7?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/69baa671-60e2-4408-adec-c5b6e4a1841e?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/44c0c0b3-3e71-41a9-b57e-634381811c41?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/20f33465-deef-4458-b38a-3bd491501a71?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/c696f31a-f7f5-4cf1-8ee8-64ff21443789?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/cdbc257b-11a9-47af-9773-04856b675421?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/8213ffae-c193-4039-bdc0-398512270bfd?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/3ec1b5ff-e797-4136-9cd7-a754f0a734f7?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/67a50c64-da48-4028-9925-66de896ed681?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/5dc4348a-ac33-4cfd-b5d0-038610c68443?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/a4e7ce9e-33f4-4d41-b809-921528436bee?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/bd2915e3-ddcb-4f9e-aba9-230a698d6562?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/b6e61b21-58b0-43dc-a124-515ab077e07c?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/ec7bc56a-eec8-4635-a17d-546d57cddbce?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/fdcdd93c-bb8a-41d4-9fb4-9d28e995a9fc?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/7ed4b038-0594-4355-aea1-471ea456b070?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/f830a462-8806-40c3-903e-1c0f1c149837?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/ff8a7444-5849-4293-bac5-f7a91d3b35a2?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/de9f1be5-cf78-4c2f-9919-43e03e28daa9?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/9552febd-db5c-4456-b324-4a5786a1e681?locale=es) [npL1](https://nnp.library.wustl.edu/concern/articles/f634f323-ca7b-4178-b70e-13cf3317e197?locale=es) [npL1](https://v2cdn0.centralappstatic.com/file/bb41838fc4a1479aad5685fb303d2831.pdf) [npL1](https://codebeautify.org/bbcode-viewer/y255580f4) [npL1](https://jsbin.com/dawacatode/edit?html,output) [npL1](https://telegra.ph/b65yt009-03-30) [npL1](https://rextester.com/IAYT87936) [npL1](https://paste.c-net.org/TarnishSixth) [npL1](https://paste.rs/Tj0nm.txt) [npL1](https://anonpaste.com/share/a64ed114d7) [npL1](https://paste.myconan.net/560930) [npL1](https://trails.colorado.gov/@asololeh) [npL1](https://donate.utahtech.edu/page.aspx?pid=305&dgs980=3&rid980=17468&tid980=10528) [npL1](https://gmcguire.digital.uic.edu/mediawiki/index.php?title=Bollinger_Bands_Signal_Major_Upside_for_XRP) [npL1](https://imgur.com/gallery/b1tg00-VQ4Lf2L) [npL1](https://cbexapp.noaa.gov/pluginfile.php/1/tag/description/12052/30mrch.html) [npL1](https://cbexapp.noaa.gov/pluginfile.php/1/tag/description/12052/212.pdf) [npL1](https://cbexapp.noaa.gov/tag/index.php?tc=1&tag=xrp) [npL1](https://www.legalaffairs.as.gov/post/latest-emergency-declaration?commentId=10ea975a-07f0-40d1-81a0-6ef72fbb7690) [npL1](https://tryit.pubhub.lib.msu.edu/groups/64d6dcf2-2502-4e35-b66e-a16cd8ec54ac) [npL1](https://forum-en.msi.com/index.php?threads/heres-you-may-know-about-msi-rtx-5090-5080-and-5070-ti-gaming-laptops.411070/) [npL1](https://jobs.lifewest.edu/employer/samsung-unveils-ai-powered-screen-enabled-home-appliances/) [npL1](https://about.me/robertocardano) [npL1](https://nnp.library.wustl.edu/concern/articles/b855c727-cf35-48a7-847e-dbea56123702?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/93d30494-7616-47c0-8660-7223659ef226?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/28e41196-d924-473f-a9ad-e7355978977c?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/5e7f5373-727f-401c-8400-938dfc71d766?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/2e6e40fe-a0e9-499d-8cb7-b4750834650e?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/77c871d4-d656-40f5-a45c-3c966e302253?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/a97b2667-4017-4fc0-a004-819370359ebb?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/40878e22-04c0-4b3a-a8e5-05aa0472ab9e?locale=en) [npL1](https://nnp.library.wustl.edu/concern/articles/4b11fddd-3e4b-4cc5-b424-2fd9eeb7463f?locale=en) [npL1](https://edms.energy.gov/EM/Lists/Comprehensive%20Survey/Item/displayifs.aspx?ID=22399) [npL1](https://info.undp.org/docs/dao/UNSP2015/Lists/PostSurvey/Item/displayifs.aspx?ID=174976) [npL1](https://www3.uwsp.edu/cols-ap/museum/Lists/Tour%20Group%20Information/DispForm.aspx?ID=16196) [npL1](https://hashnode.com/post/cm8vxr2v4000009js1qlmduz8) [npL1](https://www.bulbapp.com/u/why-do-llms-make-stuff-up) + Fluency Over Accuracy : LLMs prioritize generating fluent, contextually appropriate responses. This can result in confident-sounding answers even when uncertain, as the model lacks mechanisms to explicitly acknowledge gaps in its knowledge. @@ -19,6 +21,4 @@ Ambiguity Handling : Vague or ambiguous queries may lead the model to make incorrect assumptions, filling gaps with fabricated details to maintain coherence. Efforts to Mitigate Hallucinations : -Researchers are exploring solutions like retrieval-augmented models (which access external data), fine-tuning for factual accuracy, and integrating uncertainty signals. However, these challenges stem from fundamental aspects of LLM design, making hallucinations an ongoing area of improvement. - -npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 npL1 \ No newline at end of file +Researchers are exploring solutions like retrieval-augmented models (which access external data), fine-tuning for factual accuracy, and integrating uncertainty signals. However, these challenges stem from fundamental aspects of LLM design, making hallucinations an ongoing area of improvement. \ No newline at end of file