Linking pages
- GitHub - xenova/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! https://github.com/xenova/transformers.js 55 comments
- Modular: AIâs compute fragmentation: what matrix multiplication teaches us https://www.modular.com/blog/ais-compute-fragmentation-what-matrix-multiplication-teaches-us 44 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- How Netflix Uses Machine Learning To Decide What Content To Create Next For Its 260M Users https://open.substack.com/pub/codecompass00/p/how-netflix-uses-machine-learning?r=rcorn 26 comments
- GitHub - JoaoLages/RATransformers: RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware! https://github.com/JoaoLages/RATransformers 7 comments
- Automated attack synthesis by extracting protocol FSMs from RFCs - DEV Community https://dev.to/maxvonhippel/automated-attack-synthesis-by-extracting-protocol-fsms-from-rfcs-1dck 3 comments
- Grooming Detection Part. 2: A Rule-base Matching Solution | by Roxane Bois | Besedo Engineering Blog | Jan, 2023 | Medium https://medium.com/besedo-engineering/grooming-detection-part-2-a-rule-base-matching-solution-fb800bfd9ab4 3 comments
- GitHub - kakaobrain/coyo-dataset: COYO-700M: Large-scale Image-Text Pair Dataset https://github.com/kakaobrain/coyo-dataset 1 comment
- Hugging Face’s Transformer Library: A Game-Changer in NLP https://turingtalks.substack.com/p/hugging-face-transformer-library 1 comment
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/pytorch-transformers 0 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/pytorch-pretrained-BERT 0 comments
- GitHub - serpapi/google-local-results-ai-server: A server code for serving BERT-based models for text classification. It is designed by SerpApi for heavy-load prototyping and production tasks, specifically for the implementation of the google-local-results-ai-parser gem. https://github.com/serpapi/google-local-results-ai-server 0 comments
- How Does a Retrieval-Augmented Generation System Work https://myscale.com/blog/how-does-retrieval-augmented-generation-system-work/ 0 comments
- JLama: the First Pure Java Model Inference Engine Implemented with Vector API and Project Panama - InfoQ https://www.infoq.com/news/2024/05/jlama-llm-inference-java/ 0 comments