Snaseem2026/bureau-of-misplaced-things
Viewer β’ Updated β’ 577 β’ 56
π In a Training Loop
Sharyar Naseem
Snaseem2026
AI & ML interests
DevOps, CI/CD, AIOps, Code Analysis, Automation, Incident Response
Recent Activity
new activity 3 days ago
Snaseem2026/bureau-of-misplaced-things:Share your fine-tunes, demos, and requests new activity 3 days ago
Snaseem2026/bureau-of-misplaced-things:Welcome to the Bureau - start here updated a dataset 3 days ago
Snaseem2026/bureau-of-misplaced-thingsOrganizations
Share your fine-tunes, demos, and requests
#2 opened 3 days ago
by Snaseem2026
Welcome to the Bureau - start here
#1 opened 3 days ago
by Snaseem2026
updated a
dataset 3 days ago
published a
dataset 3 days ago
liked a
Space 3 days ago
liked a
model 3 days ago
liked a
Space 4 days ago
reacted to Banaxi-Tech's post with π₯ 4 days ago
Post
3566
We're excited to release BananaMindBench Leaderboard, our leaderboard for BananaMind Base Bench 1.1.
It measures model performance on a variety of different tasks:
Language Completion
Common sense too
World Knowledge
Context Tracking
Quantitative
Logical Reasoning
Code Completion
Each has a different score and 1 overall score.
Submit your own model:
BananaMind/BananaMindBench-Leaderboard
Check it out:
BananaMind/BananaMindBench-Leaderboard
It measures model performance on a variety of different tasks:
Language Completion
Common sense too
World Knowledge
Context Tracking
Quantitative
Logical Reasoning
Code Completion
Each has a different score and 1 overall score.
Submit your own model:
BananaMind/BananaMindBench-Leaderboard
Check it out:
BananaMind/BananaMindBench-Leaderboard
- 15 replies
reacted to salma-remyx's post with π₯ 7 days ago
Post
3569
Nobody can be the originator of every great idea. And the rate of innovation in AI is difficult to track in detail.
But the next great idea for your codebase may have been described in open-science publications like arXiv.
Who among us can keep up with reading, smoke testing, adapting every viral method in the feed? (not me)
And what about the long-tail of results that you won't discover for another 6 months? That's what we built Outrider for!
Now I get alerts when candidate methods look like a good fit for the engineering challenges I'm addressing in my application.
I don't waste time running down dead end leads. Instead, I choose to invest my attention into ones which have earned it with evidence.
Try it yourself: https://studio.remyx.ai
Read the docs: https://docs.remyx.ai
But the next great idea for your codebase may have been described in open-science publications like arXiv.
Who among us can keep up with reading, smoke testing, adapting every viral method in the feed? (not me)
And what about the long-tail of results that you won't discover for another 6 months? That's what we built Outrider for!
Now I get alerts when candidate methods look like a good fit for the engineering challenges I'm addressing in my application.
I don't waste time running down dead end leads. Instead, I choose to invest my attention into ones which have earned it with evidence.
Try it yourself: https://studio.remyx.ai
Read the docs: https://docs.remyx.ai
reacted to danielhanchen's post with π€ 9 days ago
Post
4660
Introducing Unsloth for AMD π
You can now train & run LLMs on your AMD hardware
β’ We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs
β’ Works on Windows, WSL, Linux
β’ Train Qwen, Gemma on just 3GB VRAM
GitHub: https://github.com/unslothai/unsloth
Blog + Guide: https://unsloth.ai/docs/basics/amd
You can now train & run LLMs on your AMD hardware
β’ We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs
β’ Works on Windows, WSL, Linux
β’ Train Qwen, Gemma on just 3GB VRAM
GitHub: https://github.com/unslothai/unsloth
Blog + Guide: https://unsloth.ai/docs/basics/amd
- 3 replies
updated a
dataset 12 days ago
published a
dataset 12 days ago
updated 2
Spaces 20 days ago
published a
Space 20 days ago
reacted to Benedictat's post with π₯ 6 months ago
Post
2781
Tencent HunyuanImage 3.0-Instruct is seriously impressive
skyrocketed to 2nd place globally on the LMArena leaderboard, only trailing Google Nano-banana Pro.
What excites me most is its newly launched image editing and multi-image fusion capabilities
its semantic understanding is rock-solid this Instruct-following capability basically enables one-sentence end-to-end workflows, delivering a dimensionality-reducing boost in efficiency.
Frankly, it nails the pain points of frontline creators: old photo restoration, text modification, even extracting people from multiple images to create group shots. Previously, tweaking the fusion quality took tons of effort, but now the out-of-the-box realism and emotional expression are top-tier zero cheap AI artifacts
π Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct
technical reportοΌhttps://arxiv.org/abs/2509.23951
skyrocketed to 2nd place globally on the LMArena leaderboard, only trailing Google Nano-banana Pro.
What excites me most is its newly launched image editing and multi-image fusion capabilities
its semantic understanding is rock-solid this Instruct-following capability basically enables one-sentence end-to-end workflows, delivering a dimensionality-reducing boost in efficiency.
Frankly, it nails the pain points of frontline creators: old photo restoration, text modification, even extracting people from multiple images to create group shots. Previously, tweaking the fusion quality took tons of effort, but now the out-of-the-box realism and emotional expression are top-tier zero cheap AI artifacts
π Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct
technical reportοΌhttps://arxiv.org/abs/2509.23951
- 2 replies
updated a
model 6 months ago
updated a
Space 6 months ago
published a
Space 6 months ago
updated a
Space 6 months ago