Designing LLMs for Production
Designing LLMs for Production: A basic manual for enhancing LLM skills and dependability by prompting by Epris E. Ezekiel
English | August 12, 2024 | ISBN: N/A | ASIN: B0DCZYF78K | PDF | 0.52 Mb
English | August 12, 2024 | ISBN: N/A | ASIN: B0DCZYF78K | PDF | 0.52 Mb
You may have interacted with an LLM without even realizing it if you have ever had a conversation with an AI chatbot or virtual assistant. These models have a plethora of uses, far beyond chatbots, including sentiment analysis, document summarization, machine translation, text generation, and many more! The term "large language model" (LLM) describes a kind of sophisticated software capable of human-like communication. These models are incredibly good at comprehending complicated circumstances and producing content that makes sense and seems human. LLMs are becoming a crucial component of the artificial intelligence (AI) environment. We shall go into the world of LLMs in this piece, examining their development over time and their history. Significant advancements in AI technology may be seen in the evolution of language models from basic rule-based systems to complex intelligence models. Large language models (LLMs) are becoming more and more capable of comprehending and interacting with humans, making them more than just tools for improving text-based applications.