Over the past year, we've seen a shift in LLM Post-Training. Previously, Supervised Fine-Tuning was the most important part: making models imitate curated Question-Answer pairs.
Now we also have Reinforcement Learning with Verifiable Rewards. With techniques like GRPO, models can learn through trial and error in dynamic environments. They can climb to new heights without relying on expensively prepared data.
But what actually are these environments in practice❓ And how do you build them effectively❓
Fascinated by these concepts, I spent time exploring this space through experiments, post-training Small Language Models. I've packaged everything I learned into this short course.
What you'll learn
🔹 Agents, Environments, and LLMs: how to map Reinforcement Learning concepts to the LLM domain 🔹 How to use Verifiers (open-source library by Prime Intellect) to build RL environments as software artifacts 🔹 Common patterns: How to build single-turn, multi-turn, and tool-use environments
🔹 Hands-on: turn a small language model (LFM2-2.6B by LiquidAI) into a Tic Tac Toe master 🔸 Build the game Environment 🔸 Use it to generate synthetic data for SFT warm-up 🔸 Group-based Reinforcement Learning
If you're interested in building "little worlds" where LLMs can learn, this course is for you.
8VIEW AI Studio - Turn ideas into clean topology reference sheets for 3D/animation
What if you could generate production-ready topology references in seconds? 8VIEW AI Studio is built for character artists who care about clean edge flow, structure, and consistency - not just pretty images.
Upload an image or few and instantly get 8-view orthographic sheets with topology guides you can actually use in your workflow.
Why it matters
Most AI tools stop at visuals. But real 3D work starts with topology.
-clean edge loops -correct pole placement -usable structure for sculpting & retopo
8VIEW bridges the gap between AI generation and real production workflows.
Features
8-view sheets Front / back / side / 3⁄4 / Top / Bottom
Your key, your data - No storage. No tracking. Fully client-side
Built for
• Character artists (Blender, ZBrush, Maya) • Students learning topology & retopology • Concept artists needing fast structure • Game artists building production assets
Workflow
Get a free Gemini API key (2 minutes) Paste it into the app Upload or describe your subject Generate clean topology reference sheets
The goal
Less time guessing topology. More time building clean models.
This model has been trained and validated on external datasets to support medical research workflows. It is designed to provide reproducible benchmarks and serve as a foundation for further exploration in healthcare AI.
Key highlights: - Built for medical research and diagnostic study contexts - Validated against external datasets for reliability - Openly available to empower the community in building stronger, more effective solutions
This release is part of my ongoing effort to make impactful AI research accessible through **Modotte**. A detailed blog post explaining the methodology, dataset handling, and validation process will be published soon.
I was in the mood to fine tune a model, you know since we can just do shit these days, but I've also been on a pure math kick lately going back to some of my old academic stuff. And I remember specifically back then thinking about how difficult it was to narrow down a problem worth working on. This is hopefully help narrow that gap, at least for some niche parts of number theory.
Convergent is a model that knows number theory and computational mathematics. But I've also trained agentic tool calling loops, using prebuilt tools advertised on my computational number theory project website https://bigcompute.science
So essentially, you can use this to talk about unsolved problems, ways to attack them, how to write the cuda kernels to investigate them on your local GPU, or come up with brand new conjectures!
But most importantly it can zero you in on something that might be more interesting, especially if you have a model to talk with the problem about. I'm aware their aren't a ton of number theorists that just hangout together... heh.
So I'm sure there are bugs. Just post on github or huggingface and I'll be able to get to them if I have time.
Everything open source. Model weights, training data, training scripts. Have at it.
Upload up to 6 photos - multi-view input for accurate reconstruction No photos? No problem- type a prompt, FLUX.1-Schnell generates your reference images AI vision pipeline - Qwen2.5-VL analyzes your angles and synthesizes the optimal 3D
description Wireframe inspector - review topology before you export GLB export - drop it straight into Blender, ZBrush, Maya, Unity, or Unreal 🔑 Bring your own HF token. Nothing is stored server-side. Works great as a starting mesh for retopology - pair it with [8VIEW AI Studio](ArtelTaleb/8view-ai-studio) to generate your character reference sheets first, then build the 3D asset here. 👉 ArtelTaleb/splat-explorer