AnythingLLM
anythingllm.com
Actively hiring
Edge AI
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Team
11-50
employees, estimated range
Backers
1
Y Combinator
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jun 2022
Went through Y Combinator
Tractionpublic signals, read monthly
Web presence
top 0.77%
of 133.2M domains by links, Common Crawl
Hacker News stories
1
best: 3 points
Registers and programsofficial lists and records that name the company
| Legal entity | Mintplex Labs, Inc. | its site |
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator Similar startupsby what they do, their industry and backers
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News
Gratuite, locale, complète: on a testé AnythingLLM, l'IA presque parfaite
AnythingLLM promet de transformer n'importe quel PC en ChatGPT privé, sans abonnement ni données envoyées dans le cloud. Après l'avoir éprouvé au quotidien, l'outil tient sa promesse, à condition d'accepter quelques compromis.
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「GenieX」をサーバーモードで動かし、「AnythingLLM」と連携してGUIでローカルAIチャットする手順
前回、「GenieX」というAIツールを使って、Snapdragon XのNPUでAIチャットするという話題をお伝えした今回はその続きで、「GenieX」をCLIで使うのではなく、「AnythingLLM」と連携させてGUI上で使う手順をお伝えする
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I tried Open WebUI, AnythingLLM, and Odysseus to self-host my AI workflow, and only one delivered
Only one of them felt like something I actually want to open every day
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Lokalne AI na sterydach? AnythingLLM z Nvidia NIM przyspiesza na GeForce RTX
Duże modele językowe (LLM), trenowane na gigantycznych zbiorach danych zawierających miliardy tokenów, zrewolucjonizowały sposób, w jaki tworzymy i przetwarzamy treści. Stanowią one trzon wielu popularnych aplikacji sztucznej inteligencji, od chatbotów i
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Snapdragon XのNPUをフル稼働してLLMを動かせる「AnythingLLM」無料、アカウント登録不要で「Llama 3.2 3B」や「Llama 3.1 8B」を実行可能使ってわかるCopilot+ PC
NPUを使ってLLMを動かす方法が少しずつ増えてきている今回紹介する「AnythingLLM」は、最も簡単に導入できるNPU対応LLMツールの1つだ
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AnythingLLM--针对骁龙X系列设备CPU和NPU优化的本地人工智能-CSDN.NET
AnythingLLM团队发现在由骁龙X系列平台所驱动设备的NPU上运行大语言模型时有可能实现x86设备无法实现的性能和能效比由骁龙X系列驱动的设备具有高性能和高效率并且随着开源模型逐渐变得更小、更快和更准确人们对人工智能的期望越来越高消费者和软件开发人员都想要一个简单的工具和框架来使用它通过下文描述的过程可以确保应用程序能够在高通Oryon CPU上的大语言模型上运行然后进一步优化大语言模型以便在高通Hexagon神经处理单元NPU上运行
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