30 summarised stories about Model Training, each linking back to the original source. Browse all topics →
Hugging Face Blog 4 years ago
Researchers trained CodeParrot, a GPT-2 model for Python code generation, from scratch using a cleaned dataset of GitHub code. The training dataset comprised 50 GB of Python code after removing duplicates that initially made up 66% of files in the original 180 GB collection. The model uses streaming data loading and distributed training across multiple GPUs to enable practical training without downloading the full dataset to disk.
The daily briefing
TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Free, no spam, unsubscribe anytime.
TLDRocket
25 July 2026
Anthropic is quietly winning the security argument while OpenAI chases hardware novelties. Claude Opus 5, Anthropic's latest flagship model, has demonstrated superior resistance to prompt injection attacks—the technique where users trick AI systems into ignoring their core instructions. The claim, backed by red-teaming results in the model's official system card, suggests Anthropic is taking a more rigorous approach to the adversarial vulnerabilities that plague modern AI. This matters because as these systems handle sensitive tasks, robustness against manipulation becomes table stakes, not a selling point.
Read the full briefing →