Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
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Easy way to turn any app into searchable data for LLMs.
Boring Report: News by AI - Information Without the Noise.
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
General Corpus of Contemporary Brazilian Portuguese with provenance and typology information - Corpus Geral do Português Brasileiro Contemporâneo.
Cortexa provides machine-learning models, research, training resources, or evaluation tools.
Earn your Master of Information and Data Science online from UC Berkeley in 2026. Master complex data and become a tech industry leader.
Information, data and behind-the-scenes details from the WNYC Data News Team.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Scala Library/REPL for Machine Learning Research.
genei applies AI to workplace tasks, meetings, sales, marketing, or productivity.
Right now, ChatGPT, Perplexity, Claude, and Gemini are answering questions about your industry. They.
Helps find, analyze or synthesize information for research and knowledge discovery.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Autograd and XLA for high-performance machine learning research.
A project to make it easier to use large external knowledge bases with LLMs.
Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).
A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.
A blog about open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning.
C, C++, and Python tools for named entity recognition and relation extraction.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.