#localmodels — Public Fediverse posts

RT @googlegemma: TRANSLASATION: Wir betreten ein neues Zeitalter der On-Device-Automatisierung. ✨ Sehen Sie, wie Gemma 4 E4B ein iOS-Simulator direkt über Argent navigiert und steuert. Lokale Modelle können komplexe Interaktionen und Software-Navigation autonom bewältigen. Video

mehr auf Arint.info

#AutonomousDriving #GemmaAI #iOSAutomation #LocalModels #OnDeviceAutomation #TechInnovation #arint_info

https://x.com/googlegemma/status/2057570113390551452#m

Wow, 13 minutes of your life you'll never get back, all to discover that you can run local models on an #M4 with a whopping #24GB of memory! 🥳 Next, maybe they'll tell us water is wet. 💧 So thrilling!
https://jola.dev/posts/running-local-models-on-m4 #localmodels #memory #technews #thrilling #discoveries #HN #HackerNews #ngated

Wow, 13 minutes of your life you'll never get back, all to discover that you can run local models on an #M4 with a whopping #24GB of memory! 🥳 Next, maybe they'll tell us water is wet. 💧 So thrilling!
https://jola.dev/posts/running-local-models-on-m4 #localmodels #memory #technews #thrilling #discoveries #HN #HackerNews #ngated

Wow, 13 minutes of your life you'll never get back, all to discover that you can run local models on an #M4 with a whopping #24GB of memory! 🥳 Next, maybe they'll tell us water is wet. 💧 So thrilling!
https://jola.dev/posts/running-local-models-on-m4 #localmodels #memory #technews #thrilling #discoveries #HN #HackerNews #ngated

Wow, 13 minutes of your life you'll never get back, all to discover that you can run local models on an #M4 with a whopping #24GB of memory! 🥳 Next, maybe they'll tell us water is wet. 💧 So thrilling!
https://jola.dev/posts/running-local-models-on-m4 #localmodels #memory #technews #thrilling #discoveries #HN #HackerNews #ngated

Wow, 13 minutes of your life you'll never get back, all to discover that you can run local models on an #M4 with a whopping #24GB of memory! 🥳 Next, maybe they'll tell us water is wet. 💧 So thrilling!
https://jola.dev/posts/running-local-models-on-m4 #localmodels #memory #technews #thrilling #discoveries #HN #HackerNews #ngated

Running local models on an M4 with 24GB memory

https://jola.dev/posts/running-local-models-on-m4

#HackerNews #localmodels #M4 #24GBmemory #machinelearning #AIdevelopment #techtrends

Running local models on an M4 with 24GB memory

https://jola.dev/posts/running-local-models-on-m4

#HackerNews #localmodels #M4 #24GBmemory #machinelearning #AIdevelopment #techtrends

Running local models on an M4 with 24GB memory

https://jola.dev/posts/running-local-models-on-m4

#HackerNews #localmodels #M4 #24GBmemory #machinelearning #AIdevelopment #techtrends

Running local models on an M4 with 24GB memory

https://jola.dev/posts/running-local-models-on-m4

#HackerNews #localmodels #M4 #24GBmemory #machinelearning #AIdevelopment #techtrends

Running local models on an M4 with 24GB memory

https://jola.dev/posts/running-local-models-on-m4

#HackerNews #localmodels #M4 #24GBmemory #machinelearning #AIdevelopment #techtrends

Đang thử nghiệm MCP với trọng tâm là xác thực. Nếu bạn đang chạy mô hình cục bộ nhưng cần truy cập công cụ an toàn, cơ chế ánh xạ chứng thực của MCP có thể là giải pháp. Bạn nghĩ sao về cách tiếp cận "Direct Schema" so với "Toolkits"? #MCP #Authentication #LocalModels #AI #XácThực #MôHìnhCụcBộ #TríTuệNhânTạo

https://v.redd.it/1jtvb3mi3xgg1

Một người dùng chia sẻ về việc tận dụng máy chủ cũ Dell PowerEdge R610 (2 CPU Xeon, 192GB RAM) để chạy mô hình AI cục bộ thay vì trả phí API. Họ đang tìm cách tự động hóa công việc và hỏi cộng đồng kinh nghiệm chạy mô hình AI trên phần cứng cũ. #AI #LocalModels #Hardware #TậnDụngMáyCũ #Học Máy

https://www.reddit.com/r/ollama/comments/1py1odn/old_server_for_local_models/

via #AIFoundry : AI-Assisted Development powered by Local Models

https://ift.tt/gsWHLrh
#AI #LocalModels #Privacy #Development #GitHubCopilot #VisualStudioCode #FoundryLocal #AIToolkit #DataPrivacy #Coding #ModelManagement #TechInnovation #SoftwareDevelopment #Productivity #M…

via @dotnet : Local AI + .NET = AltText Magic in One C# Script

https://ift.tt/iFfJ2Gm
#AI #DotNet #AltText #CSharp #Accessibility #LocalModels #Ollama #ImageProcessing #Automation #GenerativeAI #MachineLearning #DevTools #TechForGood #SEO #UX #Coding #Programmin…

@Catvalente

Or just use you AI locally 🦾 💻 🧠

I completely understand the concerns about relying too heavily on AI, especially cloud-based, centralized models like ChatGPT. The issues of privacy, energy consumption, and the potential for misuse are very real and valid. However, I believe there's a middle ground that allows us to benefit from the advantages of AI without compromising our values or autonomy.

Instead of rejecting AI outright, we can opt for open-source models that run on local hardware. I've been using local language models (LLMs) on my own hardware. This approach offers several benefits:

- Privacy - By running models locally, we can ensure that our data stays within our control and isn't sent to third-party servers.

- Transparency - Open-source models allow us to understand how the AI works, making it easier to identify and correct biases or errors.

- Customization - Local models can be tailored to our specific needs, whether it's for accessibility, learning, or creative projects.

- Energy Efficiency - Local processing can be more energy-efficient than relying on large, centralized data centers.

- Empowerment - Using AI as a tool to augment our own abilities, rather than replacing them, can help us learn and grow. It's about leveraging technology to enhance our human potential, not diminish it.

For example, I use local LLMs for tasks like proofreading, transcribing audio, and even generating image descriptions. Instead of ChatGPT and Grok, I utilize Jan.ai with Mistral, Llama, OpenCoder, Qwen3, R1, WhisperAI, and Piper. These tools help me be more productive and creative, but they don't replace my own thinking or decision-making.

It's also crucial to advocate for policies and practices that ensure AI is used ethically and responsibly. This includes pushing back against government overreach and corporate misuse, as well as supporting initiatives that promote open-source and accessible technologies.

In conclusion, while it's important to be critical of AI and its potential downsides, I believe that a balanced, thoughtful approach can allow us to harness its benefits without sacrificing our values. Let's choose to be informed, engaged, and proactive in shaping the future of AI.

CC: @Catvalente @audubonballroon
@calsnoboarder @craigduncan

#ArtificialIntelligence #OpenSource #LocalModels #PrivacyLLM #Customization #LocalAI #Empowerment #DigitalLiteracy #CriticalThinking #EthicalAI #ResponsibleAI #Accessibility #Inclusion #Education

@system76
I love #LLM, or as they're often called, #AI, especially when used locally. Local models are incredibly effective for enhancing daily tasks like proofreading, checking emails for spelling and grammatical errors, quickly creating image descriptions, transcribing audio to text, or even finding that one quote buried in tons of files that answers a recurring question.

However, if I wanted to be fully transparent to #bigtech, I would use Windows and Android with all the "big brotherly goodness" baked into them. That's why I hope these tools don't connect to third-party servers.

So, my question to you is: Do you propose a privacy-oriented and locally/self-hosted first LLM?

I'm not opposed to the general notion of using AI, and if done locally and open-source, I really think it could enhance the desktop experience. Even the terminal could use some AI integration, especially for spell-checking and syntax-checking those convoluted and long commands. I would love a self-hosted integration of some AI features. 🌟💻
#OpenSource #Privacy #AI #LocalModels #SelfHosted #LinuxAI #LocalLLM #LocalAI