Jean Louis PRO

JLouisBiz

https://www.StartYourOwnGoldMine.com

AI & ML interests

- LLM for sales, marketing, promotion - LLM for Website Revision System - increasing quality of communication with customers - helping clients access information faster - saving people from financial troubles

Recent Activity

replied to fdaudens's post about 2 hours ago

This is what efficient AI looks like: Gemma 3n just dropped - a natively multimodal model that runs entirely on your device. No cloud. No API calls. 🧠 Text, image, audio, and video - handled locally. ⚡️Only needs 2B in GPU memory to run 🤯 First sub-10B model to hit 1300+ Elo ✅ Plug-and-play with Hugging Face, MLX, llama.cpp, and more. Plus: Multilingual out of the box (140+ languages), fine-tune in a free Colab notebook. https://huggingface.co/collections/google/gemma-3n-685065323f5984ef315c93f4

new activity 1 day ago

THU-KEG/LongWriter-Zero-32B:It doesn't work with llama.cpp

updated a collection 1 day ago

Free Software Models

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replied to fdaudens's post about 2 hours ago

Gemma License (danger) is not Free Software and is not Open Source:
https://gnu.support/gnu-emacs/emacs-lisp/Gemma-License-danger-is-not-Free-Software-and-is-not-Open-Source.html

So the goal of Google is just their monopoly and dependence of users. I suggest using fully free, free as in freedom, LLMs.

New activity in THU-KEG/LongWriter-Zero-32B 1 day ago

It doesn't work with llama.cpp

👍 1

#2 opened 1 day ago by

JLouisBiz

updated a collection 1 day ago

Free Software Models

Collection

Only fully free software models as by definition: https://www.gnu.org/philosophy/free-sw.html • 99 items • Updated 1 day ago • 2

liked a model 2 days ago

THU-KEG/LongWriter-Zero-32B

Text Generation • Updated 3 days ago • 85 • 33

reacted to AdinaY's post with 🔥👍 2 days ago

Post

1482

LongWriter-Zero 🔥 A Purely RL trained LLM handles 10K+ token coherent passages by Tsinghua University

Model:
THU-KEG/LongWriter-Zero-32B
Dataset:
THU-KEG/LongWriter-Zero-RLData
Paper:
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning (2506.18841)

✨ 32B
✨ Multi-reward GRPO: length, fluency, structure, non-redundancy
✨ Enforces <think><answer> format via Format RM
✨ Build on Qwen2.5-32B-base

reacted to BFFree's post with 👍 2 days ago

Post

2542

Working on some chess set concepts. I went towards minimal sculpted shapes then returned to some traditionalism.

replied to giadap's post 5 days ago

Okay, please keep researching so that you can get more tools for Uganda, Kenya and Tanzania.

reacted to giadap's post with 🔥 5 days ago

Post

1830

🗣️ Whose voice do we hear when AI speaks?

Every language carries its own cultural values and worldviews. So, when we build AI systems, we're not just deciding how they speak but also whose perspectives they represent.

Even choosing which dialect to train on in Norway becomes a question of inclusion and power. In Kenya, will AI speak Swahili from Nairobi or coastal regions? What about indigenous languages with rich oral traditions but limited written text, like Quechua in Peru or Cherokee in North America?

The path forward? Building WITH communities, not just FOR them. Working with local partners (libraries, universities, civil society), testing for cultural alignment, and asking hard questions about representation.

Just published some thoughts on this after my keynote in Norway a few weeks ago: https://huggingface.co/blog/giadap/when-ai-speaks

1 reply

replied to yeonseok-zeticai's post 5 days ago

Thank you, that is interesting, but where is the link? Is it going to work on 24 GB VRAM?

reacted to brainhome's post with 👍 5 days ago

Post

1714

Trinity-Synthesis: A Multi-Agent Architecture for AI Agents That Think Before They Speak
Ever felt your AI agent is "shooting from the hip"? It latches onto a single line of thought and fails to produce a robust, well-rounded plan. This is a common struggle I've called the "AI Reasoning Paradox."

To tackle this, I developed Trinity-Synthesis, a multi-agent architecture designed to force reflection and synthesis before delivering a final answer. The philosophy is simple: constructive conflict between different perspectives leads to better solutions.

Here’s the core idea:

Instead of one agent, it uses four agents running on the same base model but with different "personalities" defined by their system prompts and temperature settings:

🧠 The Visionary: Thinks outside the box (high temp: 1.0).
📊 The Analyst: Focuses on logic, data, and structure (low temp: 0.3).
🛠️ The Pragmatist: Evaluates feasibility, costs, and risks (mid temp: 0.5).
These three "thinkers" work in parallel on the same problem. Then, a final Synthesizer agent critically analyzes their outputs, rejects flawed arguments, and integrates the best points into a single, coherent, and often superior strategy.

The result is a more robust reasoning process that balances creativity with analytical rigor, making it ideal for solving complex, strategic problems where answer quality is critical.

I've written a deep dive on how it works, including a detailed case study ("The Helios Initiative") and the Python source code for you to experiment with.

Read the full article on Medium:
https://medium.com/@brainhome9/trinity-synthesis-how-i-built-an-ai-agent-that-thinks-before-it-speaks-d45d45c2827c

I'd love to hear your feedback and see what you build with it!

#AI #AIAgents #LLM #Reasoning #MultiAgent

4 replies

liked a model 5 days ago

kalle07/pdf2txt_parser_converter

Updated 3 days ago • 8

liked a Space 9 days ago

Nanonets OCR

👁

Demo for Nanonets-OCR

New activity in black-forest-labs/FLUX.1-schnell 15 days ago

best way to learn swimming

#162 opened 15 days ago by

JLouisBiz

New activity in ByteDance-Seed/BAGEL-7B-MoT 29 days ago

Explainer and Demo testing video

#16 opened about 1 month ago by

ritheshSree

New activity in ByteDance-Seed/BAGEL-7B-MoT about 1 month ago

1.5B model please

👍 3

#1 opened about 1 month ago by

eac123

New activity in KingNish/Bagel-7B-Demo about 1 month ago

How many gigabytes of VRAM is necessary for this?

#1 opened about 1 month ago by

JLouisBiz

reacted to codelion's post with 👍 about 1 month ago

Post

2845

🧬 Hey everyone! Just released **OpenEvolve** - an open-source implementation of Google DeepMind's AlphaEvolve system.

It's an evolutionary coding agent that uses LLMs to discover and optimize algorithms. I successfully replicated DeepMind's results on circle packing (99.97% match!) and evolved a random search into a simulated annealing algorithm.

✨ Key features:
- Evolves entire codebases (not just single functions)
- Works with any OpenAI-compatible API
- LLM ensemble approach for better results
- Multi-objective optimization

👉 Check it out:
GitHub: https://github.com/codelion/openevolve
Blog post: https://huggingface.co/blog/codelion/openevolve

Would love to hear your thoughts or answer any questions about it!