Reubencf (Reuben fernandes)

reacted to their post with 🤯❤️ 2 days ago

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4786

Great News !
Reubencf/Nano_Banana_Editor Now supports black-forest-labs/FLUX.1-Kontext-dev and Qwen/Qwen-Image-Edit-2509

Just log in with Huggingface and try it out

reacted to Kseniase's post with ❤️ 2 days ago

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3497

From Prompt Engineering to Context Engineering: Main Design Patterns

Earlier on, we relied on clever prompt wording, but now structured, complete context matters more than just magic phrasing. The next year is going to be a year of context engineering which expands beyond prompt engineering. The two complement each other: prompt engineering shapes how we ask, while context engineering shapes what the model knows, sees, and can do.

To keep things clear, here are the main techniques and design patterns in both areas, with some useful resources for further exploration:

▪️ 9 Prompt Engineering Techniques (configuring input text)

1. Zero-shot prompting – giving a single instruction without examples. Relies entirely on pretrained knowledge.

2. Few-shot prompting – adding input–output examples to encourage model to show the desired behavior. ⟶ https://arxiv.org/abs/2005.14165

3. Role prompting – assigning a persona or role (e.g. "You are a senior researcher," "Say it as a specialist in healthcare") to shape style and reasoning. ⟶ https://arxiv.org/abs/2403.02756

4. Instruction-based prompting – explicit constraints or guidance, like "think step by step," "use bullet points," "answer in 10 words"

5. Chain-of-Thought (CoT) – encouraging intermediate reasoning traces to improve multi-step reasoning. It can be explicit ("let’s think step by step"), or implicit (demonstrated via examples). ⟶ https://arxiv.org/abs/2201.11903

6. Tree-of-Thought (ToT) – the model explores multiple reasoning paths in parallel, like branches of a tree, instead of following a single chain of thought. ⟶ https://arxiv.org/pdf/2203.11171

7. Reasoning–action prompting (ReAct-style) – prompting the model to interleave reasoning steps with explicit actions and observations. It defines action slots and lets the model generate a sequence of "Thought → Action → Observation" steps. ⟶ https://arxiv.org/abs/2210.03629

Read further ⬇️
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3 replies

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reacted to their post with 🔥 7 days ago

Post

4786

Great News !
Reubencf/Nano_Banana_Editor Now supports black-forest-labs/FLUX.1-Kontext-dev and Qwen/Qwen-Image-Edit-2509

Just log in with Huggingface and try it out

posted an update 8 days ago

Post

4786

Great News !
Reubencf/Nano_Banana_Editor Now supports black-forest-labs/FLUX.1-Kontext-dev and Qwen/Qwen-Image-Edit-2509

Just log in with Huggingface and try it out

reacted to their post with 👀 8 days ago

Post

2497

Hey everyone! 👋

I am thrilled to present MCP-1st-Birthday/Reuben_OS my submission for the Hugging Face MCP 1st Birthday Hackathon (Creative Track).

ReubenOS is a virtual cloud-based operating system designed specifically to act as a backend for Claude Desktop via the Model Context Protocol (MCP). It gives Claude a persistent environment to work in!

✨ Key Features

* 📱 Flutter IDE: Claude can write Flutter code and I can view/execute the files directly in the ReubenOS dashboard.
* 🎵 AI Audio Studio: Integrated with ElevenLabs to generate songs and voiceovers from text prompts within Claude.
* 🔒 Secure File System: A passkey-protected file system (private & public folders) to store code, JSON, and documents.
* 🧠 Gemini Integration: Access Google's Gemini model directly inside the OS.
* 📝 Quiz Engine: Ask Claude to "Create a Python quiz," and it deploys a graded interactive quiz to the web instantly.

9 replies

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replied to their post 29 days ago

Track can be with or without Gradio
and Track 2 you have to use Gradio
yes Track 1 is MCP and Track 2 is agents

replied to Holy-fox's post 29 days ago

ポストをします

replied to their post 29 days ago

@yuki-sui track 1 can be anything.
Track 2 you have to strictly use Gradio

replied to their post 29 days ago

No it is made using Next.js

replied to their post 29 days ago

Thanks a lot @ash-98

replied to their post about 1 month ago

@John6666 What are your thoughts on this ?

reacted to their post with 🔥 about 1 month ago

Post

2497

Hey everyone! 👋

I am thrilled to present MCP-1st-Birthday/Reuben_OS my submission for the Hugging Face MCP 1st Birthday Hackathon (Creative Track).

ReubenOS is a virtual cloud-based operating system designed specifically to act as a backend for Claude Desktop via the Model Context Protocol (MCP). It gives Claude a persistent environment to work in!

✨ Key Features

* 📱 Flutter IDE: Claude can write Flutter code and I can view/execute the files directly in the ReubenOS dashboard.
* 🎵 AI Audio Studio: Integrated with ElevenLabs to generate songs and voiceovers from text prompts within Claude.
* 🔒 Secure File System: A passkey-protected file system (private & public folders) to store code, JSON, and documents.
* 🧠 Gemini Integration: Access Google's Gemini model directly inside the OS.
* 📝 Quiz Engine: Ask Claude to "Create a Python quiz," and it deploys a graded interactive quiz to the web instantly.

9 replies

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posted an update about 1 month ago

Post

2497

Hey everyone! 👋

I am thrilled to present MCP-1st-Birthday/Reuben_OS my submission for the Hugging Face MCP 1st Birthday Hackathon (Creative Track).

ReubenOS is a virtual cloud-based operating system designed specifically to act as a backend for Claude Desktop via the Model Context Protocol (MCP). It gives Claude a persistent environment to work in!

✨ Key Features

* 📱 Flutter IDE: Claude can write Flutter code and I can view/execute the files directly in the ReubenOS dashboard.
* 🎵 AI Audio Studio: Integrated with ElevenLabs to generate songs and voiceovers from text prompts within Claude.
* 🔒 Secure File System: A passkey-protected file system (private & public folders) to store code, JSON, and documents.
* 🧠 Gemini Integration: Access Google's Gemini model directly inside the OS.
* 📝 Quiz Engine: Ask Claude to "Create a Python quiz," and it deploys a graded interactive quiz to the web instantly.

9 replies

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replied to mybbnae's post about 1 month ago

🔥

reacted to mybbnae's post with 👀 about 1 month ago

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1519

@Reubencf made an WebOS check it out MCP-1st-Birthday/Reuben_OS

1 reply

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reacted to mrmanna's post with 🚀 about 1 month ago

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1371

𝗔𝗿𝗲 𝗬𝗼𝘂 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗧𝗿𝘂𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲 𝗼𝗿 𝗝𝘂𝘀𝘁 𝗮 𝗦𝗺𝗮𝗿𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 𝗘𝗻𝗴𝗶𝗻𝗲?
𝘞𝘩𝘺 𝘢 𝘴𝘪𝘮𝘱𝘭𝘦 𝘥𝘰𝘮𝘢𝘪𝘯 𝘮𝘰𝘥𝘦𝘭 𝘥𝘰𝘦𝘴 𝘮𝘰𝘳𝘦 𝘧𝘰𝘳 𝘵𝘳𝘶𝘵𝘩 𝘵𝘩𝘢𝘯 𝘢𝘯𝘰𝘵𝘩𝘦𝘳 𝘳𝘰𝘶𝘯𝘥 𝘰𝘧 𝘵𝘰𝘱-𝘬 𝘵𝘶𝘯𝘪𝘯𝘨
ᴘᴜʙʟɪꜱʜᴇᴅ ᴏɴ ᴍᴇᴅɪᴜᴍ ɪɴ AI Advances | ɴᴏᴠ 22

Most “Knowledge bases” today are just vector indexes with a chat UI.
Without the LLM, they know nothing. With the LLM, every answer re-rents the same knowledge in tokens.

𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀:
- A vector store isn’t a knowledge base; it’s a smart memory. The “knowledge” lives in the model you keep paying to re-read your own documents.

- Without a model (entities + relationships), you lock in two long-term costs: high tokens per question and shallow answers per question.

- A lightweight knowledge model lets you store facts once, query them cheaply, and use the LLM only for judgment and language — not for rediscovering the same truths forever.

𝗙𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 👉
https://ai.gopubby.com/are-you-building-a-true-knowledge-base-or-just-a-smart-search-engine-549922e29359?sk=b755b4c54ca77ab7b6b83189be81b689

reacted to mrfakename's post with 🔥 about 1 month ago

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6075

Trained a model for emotion-controllable TTS based on MiMo audio on LAION's dataset.

Still very early and does have an issue with hallucinating but results seem pretty good so far, given that it is very early into the training run.

Will probably kick off a new run later with some settings tweaked.

Put up a demo here: https://huggingface.co/spaces/mrfakename/EmoAct-MiMo

(Turn 🔊 on to hear audio samples)

5 replies

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replied to onekq's post about 1 month ago

soon it will be on par with gemini 3

reacted to paulml's post with 🔥 2 months ago

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3612

Qwen3-VL-4B is incredibly easy to fine-tune!
We've trained the first DSE model based on this model, and it's already performing at the same level as Jina v4!

While Jina Embeddings v4 is built on Qwen2.5-VL-3B (which has a non-commercial license), our model is based on Qwen3-VL-4B and released under Apache 2.0—making it fully commercially permissive.

Check out our DSE model here:
racineai/QwenAmann-4B-dse

Reuben fernandes PRO

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Reuben fernandes PRO

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