LLMs
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Explore more → **LLMs**
What is LLMs?
Large Language Models (LLMs) are artificial intelligence models, typically based on neural networks with many parameters (often billions), trained on vast amounts of text data to understand and generate human-like text. They are commonly used for tasks such as text generation, translation, question answering, summarization, and chatbot applications.
What other technologies are related to LLMs?
LLMs Competitor Technologies
GPT
GPT (Generative Pre-trained Transformer) is a type of LLM, and thus a competitor to other LLMs.
OpenAI
OpenAI develops and provides access to LLMs, making it a competitor in the LLM space.
BERT
BERT is a specific LLM architecture, making it a competitor to other LLM architectures and models.
Llama
Llama is a type of LLM, so it is a direct competitor to other LLMs.
Number of organizations that mention technology
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LLMs Complementary Technologies
RAG
Retrieval-augmented generation is a complementary technique to LLMs, improving their ability to access and incorporate external knowledge.
LangChain
LangChain is a framework that assists in developing applications powered by LLMs, and so it is complementary.
Prompt Engineering
Prompt Engineering is the art and science of designing effective prompts for LLMs, a critical component of working with LLMs.
Number of organizations that mention technology
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Which job functions commonly mention LLMs?
Applied Scientist
15.1% of all Applied Scientist jobs mention LLMs
View 1.7k
jobs on Sumble
AI Engineer
12.0% of all AI Engineer jobs mention LLMs
View 10.3k
jobs on Sumble
Machine Learning
6.1% of all Machine Learning jobs mention LLMs
View 6.4k
jobs on Sumble
Data Scientist
3.9% of all Data Scientist jobs mention LLMs
View 9.6k
jobs on Sumble
Data, Analytics & Machine Learning
1.6% of all Data, Analytics & Machine Learning jobs mention LLMs
View 27.9k
jobs on Sumble
Which organizations are mentioning LLMs?
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