ben burtenshaw
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Posts 39
Post
8756
Smol course has a distinctive approach to teaching post-training, so I'm posting about how it’s different to other post-training courses, including the llm course that’s already available.
In short, the smol course is just more direct that any of the other course, and intended for semi-pro post trainers.
- It’s a minimal set of instructions on the core parts.
- It’s intended to bootstrap real projects you're working on.
- The material handsover to existing documentation for details
- Likewise, it handsover to the LLM course for basics.
- Assessment is based on a leaderboard, without reading all the material.
To start the smol course, follow here:
smol-course
In short, the smol course is just more direct that any of the other course, and intended for semi-pro post trainers.
- It’s a minimal set of instructions on the core parts.
- It’s intended to bootstrap real projects you're working on.
- The material handsover to existing documentation for details
- Likewise, it handsover to the LLM course for basics.
- Assessment is based on a leaderboard, without reading all the material.
To start the smol course, follow here:
VLMs playing atari
- RunningRL2
Agentic Environment - Atari Pong
🎮2Play and control Atari 2600 games through a web interface
- Sleeping
Agentic Environment - Atari PacMan
🎮Control and monitor Atari games through a web interface
- SleepingRL1
Agentic Environment - Atari Breakout
🎮1Play Atari games and view results via a web UI
- Runtime errorAgentsFeatured15
Qwen Atari
😻15Play Atari games using a vision-language model
RL Environments
VLMs playing atari
- RunningRL2
Agentic Environment - Atari Pong
🎮2Play and control Atari 2600 games through a web interface
- Sleeping
Agentic Environment - Atari PacMan
🎮Control and monitor Atari games through a web interface
- SleepingRL1
Agentic Environment - Atari Breakout
🎮1Play Atari games and view results via a web UI
- Runtime errorAgentsFeatured15
Qwen Atari
😻15Play Atari games using a vision-language model
spaces 143
Running
Agents
Terminal Bench Loop Trackio
🎯
Display I/O tracking stats
Running
Huggingface Static A43b39
🎯
Explore your Trackio data with an interactive dashboard
Running
Huggingface Static 0e972d
🎯
Monitor your data with an interactive Trackio dashboard
Running
Huggingface Static 82b958
🎯
View interactive tracking dashboards
Sleeping
Agents
Gemma4 Terminal Warmstart Trackio
🚀
Show a Hugging Face project dashboard with Trackio
Running
Agents
Gemma4 Terminal Sweep Trackio
🐠
Display a tracking dashboard for a Hugging Face project
models 108
burtenshaw/tmax2-semantic-oracle-tmaxsft-lora-lr2e6-s100
Updated • 18
burtenshaw/tmax2-rawcmd-tmaxsft-lora-lr1e5-r8-s80
Updated • 40
burtenshaw/gemma4-pi-mono-youtube-livestream-1-scripts
Updated
burtenshaw/openenv-echo-world-model-liquidai-lfm2.5-350m-seed1
Text Generation • 0.4B • Updated • 14
burtenshaw/openenv-echo-world-model-liquidai-lfm2.5-350m-seed2
Text Generation • 0.4B • Updated • 8
burtenshaw/openenv-echo-world-model-liquidai-lfm2.5-350m-seed0
Text Generation • 0.4B • Updated • 14
burtenshaw/openenv-echo-world-model-distilgpt2-seed0
Text Generation • 81.9M • Updated • 16
burtenshaw/openenv-echo-world-model-distilgpt2-seed2
Text Generation • 81.9M • Updated • 15
burtenshaw/openenv-echo-world-model-distilgpt2-seed1
Text Generation • 81.9M • Updated • 16
burtenshaw/lfm25-350m-commonsenseqa-sft-lr1e4-r16-2k
Text Generation • Updated • 27
datasets 67
burtenshaw/terminus-pi-trl-hard-tasks
Viewer • Updated • 16 • 46
burtenshaw/terminus-pi-trl-tasks
Viewer • Updated • 8 • 85
burtenshaw/transformers-pr-slop-dataset
Viewer • Updated • 1.46M • 1.26k • 2
burtenshaw/1-million-rows
Updated • 13
burtenshaw/european-cities
Viewer • Updated • 40 • 6
burtenshaw/european-countries
Viewer • Updated • 47 • 6
burtenshaw/ptc-optimized-kernel-job-inputs
Updated • 20
burtenshaw/kernel-skill-source
Updated • 72
burtenshaw/qwen3-5-0-8b-rmsnorm-experiment
Viewer • Updated • 33 • 50
burtenshaw/hub-stats-papers-last-week-2026-03-28
Preview • Updated • 11