Language Modeling
Language modeling is the process of predicting the next word or sequence of words in a sentence based on the context of the words that came before it. It involves utilizing statistical and computational techniques to analyze and generate language patterns, allowing for more accurate and fluent text generation. Language modeling is essential in various natural language processing tasks such as speech recognition, machine translation, and text generation.
External Links
- [modeling-languages.com] Modeling Languages - Latest news, tools and research reports
- [ifml.org] IFML: The Interaction Flow Modeling Language | The OMG standard for front-end design
- [Convoluted.org] AI/ML Grooming and Pruning Techniques for Large Language Models
- [kumo.ai] AI Platform - Improve my ML Model Performance, Predictive Graph Based Machine Learning For Marketing, Personalization, Platform, Pipelines, Fashion Retailers, B2C Ecommerce, Natural Language Processing, PYG MLOPS - Kumo
- [rwkv.net] GitHub - BlinkDL/ChatRWKV: ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
- [rwkv.com] RWKV Language Model
- [tcrs.io] TCRS 24 at ESWEEK | This workshop is meant as a forum for researchers interested in exploring models, languages, tools, and design methodologies for time-centric reactive systems. The event is part of ESWEEK.
- [sapling.ai] Language Model Copilot and API Toolkit | Sapling