I accidentally trained a HmarBERT (maybe)!
Donal Muolhoi trained a Hmar language model, HmarBERT, by fine-tuning from a Mizo model after a university professor suggested the approach, and published it on Hugging Face under the Hmar Heritage Fo…
Donal Muolhoi trained a Hmar language model, HmarBERT, by fine-tuning from a Mizo model after a university professor suggested the approach, and published it on Hugging Face under the Hmar Heritage Fo…
A developer ported Andrej Karpathy's microgpt Python code into Rust and into an array programming language called sw-MLPL, presenting the work as a Show HN post. The sw-MLPL version is more compact th…
A practical guide demonstrates transfer learning with MobileNetV2 in Keras, using a frozen pretrained base plus a new Dense(5) output layer to classify 3,670 flower photos across five categories (rose…
NVIDIA's cuDNN Frontend graph API lets developers express a computation as a graph of operations, have cuDNN select an execution engine, and then override that engine choice, according to a Marktechpo…
Fine-tuning LiquidAI's LFM2.5-350M model with Group Relative Policy Optimization (GRPO) using the TRL library improved its IFStruct benchmark score from 22.6% to 29.7% in just 100 training steps, acco…
A developer building a French AI voiceover API that accepts payments only from robots gave the service a real domain name for free using sslip.io, which resolves any IP-based hostname without signup o…
Calm Rocks released a free, framework-free set of Colab notebooks teaching the applied-LLM stack for AI Engineer and Forward Deployed Engineer roles, covering model APIs, RAG, evals, agents, fine-tuni…
NVIDIA has released educational resources for its cuDF and cuML libraries, including Colab notebooks and tutorials for exploring pandas accelerator mode and cuML's accelerator mode. The materials cove…
OpenAI software engineer Max Leiter uses Codex, an AI tool, to automate repetitive tasks such as running model evaluations, by building Runme, an open-source web application that creates notebooks for…
A diagnostic experiment by TraceML maintainer found that Qwen3-1.7B LoRA training with TRL on a single T4 ran 17% faster with per-device batch size 4 and no gradient accumulation (238.2s) than with pe…
AllenAI's Open Instruct framework was used to build an end-to-end post-training pipeline for a compact instruction-tuned language model, integrating Supervised Fine-Tuning, Direct Preference Optimizat…
A developer who struggled to grasp gradient descent built a browser-based teaching demo using AI-generated code. The app lets users train a linear pixel model on 8x8 cat, dog, and rabbit silhouettes, …
A Colab experiment with Gemma 4 12B Q4_K_M failed to reproduce the pathological collapse reported for the 31B model under a hard letter constraint with greedy decoding, suggesting the issue may be arc…
A new open-source integration for Hugging Face Trainer, TraceML, diagnoses whether GPU underutilization is caused by data-loading bottlenecks or model compute limits. The tool, built by an unnamed dev…
Triton-blackhole, a deterministic numerical debugger for Triton kernels, identifies where output diverges from a PyTorch reference and classifies drift as benign fp16/bf16 drift or a real bug without …
A reproducible 100-step LoRA fine-tuning run for the OpenVLA 7-billion-parameter robotics model on a Colab A100 GPU has been documented, providing a verifiable integration test that confirms the train…
A model download from Hugging Face freezes at a specific percentage due to a bug in the Xet-aware fetch/reconstruction path, according to a Colab experiment by a user. The issue, reproducible with the…
MarkTechPost published a tutorial on building an autonomous data science agent using DeepAnalyze-8B, sandboxed code execution, and iterative analysis. The agent runs on a T4 GPU in Colab, processes e-…
A user encountered an AttributeError when running a sentiment analysis pipeline in a Colab notebook, likely due to a version incompatibility between transformers and torchvision. The error trace shows…
Custodian Labs has launched a Python SDK that enables developers to deploy AI agents in five lines of code, handling infrastructure, hosting, and chat UI automatically. The tool supports adding data s…