# Open Source LLMs

In the rapidly evolving world of artificial intelligence (AI), Large Language Models (LLMs) have emerged as a cornerstone, driving innovations and reshaping the way we interact with technology.

As these models become increasingly sophisticated, there's a growing emphasis on democratizing access to them. Open-source models, in particular, are playing a pivotal role in this democratization, offering researchers, developers, and enthusiasts alike the opportunity to delve deep into their intricacies, fine-tune them for specific tasks, or even build upon their foundations.

Here, we explore some of the top open-source LLMs that are making waves in the AI community, each bringing its unique strengths and capabilities to the table.

### **The Expanding Realm of Large Language Models**

The realm of Large Language Models is vast and ever-expanding, with each new model pushing the boundaries of what's possible. The open-source nature of the LLMs discussed in this blog not only showcases the collaborative spirit of the AI community but also paves the way for future innovations.

These models, from Vicuna's impressive chatbot capabilities to Falcon's superior performance metrics, represent the pinnacle of current LLM technology. As we continue to witness rapid advancements in this field, it's clear that open-source models will play a crucial role in shaping the future of AI.

## Rise of the Open Source ChatGPT Clones

The basic components of a ChatGPT clone are:

1. large language model as its base
2. instruct dataset for fine-tuning the large language model
3. tools and pipeline for generating and curating the instruct dataset
4. tools and pipeline for fine-tuning and alignment of the model
5. tools for system management (ie user management, pre-prompt management)
6. tools for operations
7. content moderation system to identify when the model produced an undesired, unethical, or illegal response
8. user interface to expose the functionality

