What are the two types of Language Models? What are more popular these days LLMs or Chat Models.

What are the Two Types of Language Models?

Language Models (LMs) can be broadly categorized into two types based on their architecture and functionality:

Autoregressive Language Models:
These models generate text sequentially, one word at a time, by predicting the next word based on the previous words. They are commonly used for tasks like text generation, storytelling, and completion. Examples include OpenAI's GPT (Generative Pre-trained Transformer) series. Autoregressive models are unidirectional, meaning they process text in a single direction (usually left-to-right).
Bidirectional Language Models:
These models process text in both directions (left-to-right and right-to-left) to understand the context of a word or phrase more effectively. They are particularly useful for tasks requiring a deeper understanding of context, such as question answering, sentiment analysis, and text classification. Examples include Google's BERT (Bidirectional Encoder Representations from Transformers) and its variants.

Are LLMs or Chat Models More Popular These Days?

Hugging Face showing more and more Chat Models rather than full LLMs.

LLMs are more general purpose (text generation/summary/transalation/etc). Chat Models for Multi turn conversational AI with models. Chat Models are LLMs Fine tuned with existing chat history (whats app/etc).

In recent years, Large Language Models (LLMs) have gained significant popularity due to their versatility and ability to perform a wide range of natural language processing (NLP) tasks. LLMs, such as OpenAI's GPT-4, Google's PaLM, and Meta's LLaMA, are trained on massive datasets and can generate human-like text, translate languages, summarize content, and more. Their general-purpose nature makes them highly adaptable for various applications.

On the other hand, Chat Models (a subset of LLMs) are specifically fine-tuned for conversational tasks, such as powering chatbots and virtual assistants. Examples include ChatGPT and Google's Bard. While chat models are incredibly popular for interactive applications, their functionality is often built on top of LLMs.

In summary, LLMs are more popular overall due to their broader applicability, but chat models are gaining rapid traction in user-facing applications like customer support, personal assistants, and interactive AI systems.

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