AI and generative technologies are being quickly adopted by businesses to enhance productivity, decision-making, and customer satisfaction. Nonetheless, a lot of leaders believe that large language models (LLM) inevitably produce greater results. Rising inference costs, significant infrastructure requirements, and growing worries about data privacy and compliance are all consequences of this misperception. Performance in real-world …
Artificial Intelligence (AI) has entered a new era where large language models (LLMs) power everything from chatbots and copilots to knowledge retrieval and compliance automation. These massive models, such as GPT-4 or Gemini, have demonstrated groundbreaking capabilities. But their size also creates challenges: they require enormous compute resources, high costs, and specialized infrastructure that most …