March 26, 2024, 5:16 p.m. | Kunal Kejriwal

Unite.AI www.unite.ai

The development of Large Language Models (LLMs) built from decoder-only transformer models has played a crucial role in transforming the Natural Language Processing (NLP) domain, as well as advancing diverse deep learning applications including reinforcement learning, time-series analysis, image processing, and much more. However, despite their scalability and strong performance, LLMs built from decoder-only transformer […]


The post BlackMamba: Mixture of Experts for State-Space Models appeared first on Unite.AI.

analysis applications artificial intelligence decoder deep learning development diverse domain experts however image image processing language language models language processing large language large language models llms machine learning mamba mixture of experts natural natural language natural language proccessing natural language processing nlp performance processing reinforcement reinforcement learning role scalability series space ssm ssms state state space model state space models transformer transformer models

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant Senior Data Engineer F/H

@ Devoteam | Nantes, France