Jan. 31, 2024, 4:45 p.m. | Le Chen, Arijit Bhattacharjee, Nesreen Ahmed, Niranjan Hasabnis, Gal Oren, Vy Vo, Ali Jannesari

cs.LG updates on arXiv.org arxiv.org

Large language models (LLMs), as epitomized by models like ChatGPT, have
revolutionized the field of natural language processing (NLP). Along with this
trend, code-based large language models such as StarCoder, WizardCoder, and
CodeLlama have emerged, trained extensively on vast repositories of code data.
Yet, inherent in their design, these models primarily focus on generative tasks
like code generation, code completion, and comment generation, and general
support for multiple programming languages. While the generic abilities of code
LLMs are useful for …

arxiv chatgpt code codellama cs.se data design generative generative pre-trained transformer language language models language processing large language large language models llms natural natural language natural language processing nlp processing repositories starcoder transformer transformer model trend vast wizardcoder

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US