Transform Any LLM into a Decision Model
Stop generating labels; read decisions from the model.Continue reading on Towards AI »
Towards AI1 min read
machine learning
359 stories
Everyone Told Me to Learn Julia. Here’s What I Found After Looking at the Numbers.
Julia is faster than Python and almost nobody uses it for AI. I wanted to understand why, and whether you should learn it anyway.Continue reading on Towards AI »
Towards AI1 min readBuild a Jev-Style Decision Model from an LLM
Agentic systems make decisions all the time: which tool to call, which category a request falls into, where to route a message. Each of these is a choice from a fixed list that is known in advance. LLMs, however, are text generators.
Towards AI24 min readU-Space: Uncovering When and Why Uncertainty Arises in Language Models [R][D]
If you build on open-weight reasoning models, you have probably wanted a "how sure is the model about this answer?" signal that does not cost 5x sampling, a judge model, or a labeled dataset. Hence, we built the U-Lens. In one line:
Reddit - r/ML2 min readCan an EEG Decoder Answer a Question it Was Never Trained on?
A language interface made new questions expressible. Answering them was a separate learning problem.
Towards AI15 min read
10 Hugging Face Models Worth Knowing in 2026
Explore 10 Hugging Face models used across text, vision, audio, and retrieval in 2026.
KDnuggets13 min read
I Built a Trap for AI Image Judges. They Walked Into a Different One.
Three vision AI models ignored the pretty image, yet GPT-4o invented answers and Claude kept answering B. The post I Built a Trap for AI Image Judges. They Walked Into a Different One. appeared first on Towards Data Science.
Towards Data Science16 min readGenerating exam questions from a school’s own past papers: looking for a second opinion on the pipeline [D]
I’m building a question bank feature for a school platform (high school, mixed Cambridge + in-house curriculum). The idea: new questions are generated from the school’s own past papers.
Reddit - r/ML2 min readConstrained Learning for Scientific Modelling (Paris NeurIPS pre-event) [N]
CL4SM session at ELLIs UnConference, a NeurIPS Paris pre-event: https://badulion.github.io/cl4sm\_2026/
Reddit - r/ML2 min readCompressed a RoBERTa AI-text detector from ~500 MB to ~97 MB so it runs client-side in the browser, plus a 26 MB image detector [P]
I wanted an AI text and image detector that doesn't need you to upload anything, so I took two existing open detectors and got them running fully client-side with ONNX Runtime Web.
Reddit - r/ML2 min readI built a tiny table that learns your local LLM's classification answers and serves the repeats in microseconds [D]
If you use a local model for classification, you know the wait: seconds per message, for questions it has answered hundreds of times. shad0w sits in front of any OpenAI-compatible server (Ollama works out of the box: llm="ollama/llama3.1" or `shad0w proxy --upstream http://localhost:11434/v1`),…
Reddit - r/ML1 min readHow's ICLR reviewing going for you? Any observations? [D]
I know it's early but I've been browsing through ICLR OpenReview and I see a lot of good papers!
Reddit - r/ML1 min read
TII Releases Falcon-ASR: 1.6B Arabic Speech Model Hits 20.92% WER
TII has released Falcon-ASR, a 1.6B speech recognition model for Arabic with an Emirati focus. It reports 20.92% average WER on 6 Arabic test sets, but weights and an API are not yet available. The post TII Releases Falcon-ASR: 1.6B Arabic Speech Model Hits 20.92% WER appeared first on MarkTechPost.
MarkTechPost5 min read
Meet Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Audio, Video, Image and Text
Cloudflare released Clef-omni, an Apache-2.0 multimodal decision model built on Qwen3-Omni-30B-A3B. It scores text, images, audio and video in one call for $0.15 per million input tokens, while Clef-flash drops to $0.038.
MarkTechPost5 min readI built a browser tool to visualize how a small LLM picks its next word and see what it's attending to [P]
I made a little thing that visualizes attention. It runs SmolLM2-135M fully in the browser (onnxruntime-web, int8, no server, works on my phone).
Reddit - r/ML1 min readWhat's up with google scholar citations ? [D]
I was browsing through arXiv for accepted NeurIPS papers, and I saw multiple papers citing my work. These papers have been there for months, but Google Scholar still has not updated its citations, and it has occurred before, but I ignored it and thought it was a one-time error.
Reddit - r/ML1 min readIs a second MSc worth it? [D]
I’m an AI research engineer based in Africa with about 3 YoEs in RL, LLMs, post-training, and systems efficiency (CUDA/vLLM). However, on a smaller scale because of compute limits. My undergrad and Master’s are both in communications engineering.
Reddit - r/ML2 min readSliced Wasserstein embeddings + HNSW for color-scheme search over 48k paintings [P]
Palette Atlas (https://itzik123.github.io/PaletteAtlas/) searches public-domain paintings by color scheme. Each image is reduced to 128 colors of equal weight, so the natural distance is the Earth Mover's Distance, which is too slow for nearest-neighbor search over 48,695 items (about 6 ms per…
Reddit - r/ML2 min read
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