Linking pages
- The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment | SpringerLink https://link.springer.com/article/10.3758/s13428-023-02124-2 326 comments
- TimesFM: Google's Foundation Model For Time-Series Forecasting https://aihorizonforecast.substack.com/p/timesfm-googles-foundation-model 25 comments
- OpenAI Guards Its ML Model Code & Data to Thwart Malicious Usage | by Synced | SyncedReview | Medium https://medium.com/syncedreview/openai-guards-its-ml-model-code-data-to-thwart-malicious-usage-d9f7e9c43cd0 23 comments
- GitHub - IndicoDataSolutions/finetune: Scikit-learn style model finetuning for NLP https://github.com/IndicoDataSolutions/finetune/tree/master 8 comments
- GitHub - openai/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners" https://github.com/openai/gpt-2 2 comments
- What is GPT-4 (and When?). GPT-4 is a natural language processing… | by Dr. Mandar Karhade, MD. PhD. | Nov, 2022 | Towards AI https://pub.towardsai.net/what-is-gpt-4-and-when-9f5073f25a6d 1 comment
- GitHub - RedditSota/state-of-the-art-result-for-machine-learning-problems: This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately. https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- The unreasonable effectiveness of recipe generation with the GPT-2 sample model | Peter Krantz https://www.peterkrantz.com/2019/recipes-with-gpt2/ 0 comments
- Introducing spaCy v2.1 · Explosion https://explosion.ai/blog/spacy-v2-1 0 comments
- Privacy Considerations in Large Language Models – Google AI Blog https://ai.googleblog.com/2020/12/privacy-considerations-in-large.html 0 comments
- Finding Syntax with Structural Probes · John Hewitt https://nlp.stanford.edu/~johnhew/structural-probe.html 0 comments
- GitHub - bbvanexttechnologies/tools-generation-detection-synthetic-content: Compilation of the state of the art of tools, articles, forums and links of interest to generate and detect any type of synthetic content using deep learning. https://github.com/bbvanexttechnologies/tools-generation-detection-synthetic-content 0 comments
- GitHub - Separius/awesome-sentence-embedding: A curated list of pretrained sentence and word embedding models https://github.com/Separius/awesome-sentence-embedding 0 comments
- OpenAI’s new language system writes really great fake news - Vox https://www.vox.com/future-perfect/2019/2/14/18222270/artificial-intelligence-open-ai-natural-language-processing 0 comments
- OpenAI's new "dangerous" GPT-2 language model (Practical AI #32) |> Changelog https://changelog.com/practicalai/32 0 comments
- GitHub - tomohideshibata/BERT-related-papers: BERT-related papers https://github.com/tomohideshibata/BERT-related-papers 0 comments
- LLM Collection | Prompt Engineering Guide https://www.promptingguide.ai/models/collection 0 comments