Identifying trends in LLM development
Let’s first review several trends in the development of LLMs. This will set us up to later review the emerging technologies in terms of LLMOps.
Advancements in model architectures
The field of large language models (LLMs) has seen a definitive shift with the introduction of transformer models, which are fundamental to the advancements in the architecture of these models. Transformers, characterized by their attention mechanisms, allow models to weigh the importance of different words in a sentence, irrespective of their sequential order. This capability is useful in understanding complex patterns and relationships in data, making transformers good at handling tasks involving natural language understanding and generation.
The achievements of models such as ChatGPT, developed by OpenAI, and Llama-3 by Meta, have significantly pushed the boundaries of what LLMs can accomplish. With Llama-3 having 70B parameters, it showcases an ability...
