The LLM Operating System: Transformers, Limitations, and the Need for Adaptation
It hasn’t been long since Large Language Models (LLMs) entered our daily lives. Yet, they remain an elusive technology—treated almost as old news by AI experts, casually overlooked by newcomers eager to specialize, and still largely misunderstood by the general public.
In this post, we’ll not only demystify LLMs but also break down the most common model adaptation techniques: Fine-Tuning and RAG architectures. Planned as a comprehensive series, this journey will take you from the fundamentals to gaining a solid grasp of technical AI concepts.
Demystifying LLMs: From Raw Data to Statistical Engines
Scientists working in the field of artificial intelligence have spent years experimenting with NLP-based models. However, they have not been able to achieve the desired level of original generation. This is because NLP-based models strictly adhere to the rules defined for them and respond based on those rules. These findings led researchers toward deep learning-based models capable...
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