May 6, 2024, 5:56 a.m. | Sebastian

DEV Community dev.to

LLMs are ubiquitous tools used for the processing and producing of natural language texts. Since its inception in 2018, several generations of LLMs continuously pushed the frontier of LLM capabilities. Today’s LLMs such as LLaMA 2 and GPT-4 are universally applicable to all classical NLP tasks, but this is not the case for the early models of 2018. These gen1 LLMs are around 150M parameters strong. They are typically trained in the Toronto Book Corpus and Wikipedia Text, with the …

capabilities case fine-tuning gpt gpt-4 language llama llama 2 llm llms natural natural language nlp overview processing tasks technical tools

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