what are Large Language Models

AI and ML/what is LLM.md

@@ -0,0 +1,18 @@
+# LLM 
+A **Large Language Model (LLM)** is a type of artificial intelligence (AI) model designed to understand and generate human language. These models are based on deep learning techniques and are trained on massive amounts of text data to develop language comprehension and generation capabilities.<\br>
+## Architecture
+LLMs are typically built on architectures called transformers. The most well-known transformer-based LLM is GPT (Generative Pre-trained Transformer). Other examples include BERT (Bidirectional Encoder Representations from Transformers) and T5 (Text-to-Text Transfer Transformer).
+## Natural Language Understanding (NLU)
+LLMs excel in natural language understanding tasks, including text classification, sentiment analysis, named entity recognition, and language translation. They can accurately analyze and categorize text based on context and content.
+##  Applications
+**Chatbots and Virtual Assistants:** LLMs power conversational AI systems that can interact with users in natural language.
+
+**Content Generation:** They can automate content creation for marketing, journalism, and creative writing.
+
+**Translation:** LLMs can translate text between languages with high accuracy.
+
+**Summarization:** They can automatically summarize lengthy documents or articles.
+
+**Language Tutoring:** LLMs can provide language learning assistance and grammar correction.
+
+**Research and Data Analysis:** They assist researchers in processing and analyzing large volumes of textual data.

What is LLM.md

@@ -0,0 +1,18 @@
+# LLM 
+A **Large Language Model (LLM)** is a type of artificial intelligence (AI) model designed to understand and generate human language. These models are based on deep learning techniques and are trained on massive amounts of text data to develop language comprehension and generation capabilities.<\br>
+## Architecture
+LLMs are typically built on architectures called transformers. The most well-known transformer-based LLM is GPT (Generative Pre-trained Transformer). Other examples include BERT (Bidirectional Encoder Representations from Transformers) and T5 (Text-to-Text Transfer Transformer).
+## Natural Language Understanding (NLU)
+LLMs excel in natural language understanding tasks, including text classification, sentiment analysis, named entity recognition, and language translation. They can accurately analyze and categorize text based on context and content.
+##  Applications
+**Chatbots and Virtual Assistants:** LLMs power conversational AI systems that can interact with users in natural language.
+
+**Content Generation:** They can automate content creation for marketing, journalism, and creative writing.
+
+**Translation:** LLMs can translate text between languages with high accuracy.
+
+**Summarization:** They can automatically summarize lengthy documents or articles.
+
+**Language Tutoring:** LLMs can provide language learning assistance and grammar correction.
+
+**Research and Data Analysis:** They assist researchers in processing and analyzing large volumes of textual data.