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Mixture of Experts (MoE) Models: The Future of Scaling AI In the ever-evolving landscape of artificial intelligence (AI), the quest for models that are both powerful and efficient has led us to explore innovative architectures. One such groundbreaking approach that has captured our attention is the Mixture of Experts (MoE) model. This architecture not only Continue Reading »
Supervised Fine Tuning (SFT) – Improving Models for Particular Scenarios The painstaking process that is the evolution of Artificial Intelligence (AI) has yielded exceptionally complex models capable of a variety of tasks, each performed with astounding efficiency. Unfortunately, these models often lack one crucial element: versatility. This is where Supervised Fine Tuning (SFT) proves to Continue Reading »
Large Language Models (LLMs) are at the forefront of artificial intelligence, powering applications from chatbots and translators to content generators and personal assistants. These models, such as OpenAI’s GPT-4, have revolutionized how we interact with machines by understanding and generating human-like text. How Large Language Models Work: Large language models are functions that map text Continue Reading »