1. Review of Llama Model Basics The Llama model is built on the Transformer architecture, featuring multiple layers of attention mechanisms that enable deep semantic analysis and feature extraction of input text. This allows it to excel in natural language processing tasks such as text continuation, summarization, and machine translation. Its design philosophy aims to … Read more
Reported by New Intelligence Editor: LRS [New Intelligence Overview] Allow language models to solve problems automatically, letting users take a backseat. The wave of AI driven by ChatGPT has ushered us into the era of artificial intelligence, where language models have become indispensable tools in daily life. However, current language models can only respond to … Read more
How to Pass Config to the Tools At runtime, we may need to pass values to the tools, such as user ID. For security reasons, this value should be set by application logic rather than controlled by the LLM. The LLM should only manage its expected parameters. The LangChain tools use the Runnable interface, where … Read more
Map-reduce operations are crucial for efficient task decomposition and parallel processing. This method involves breaking down tasks into smaller sub-tasks, processing each sub-task in parallel, and aggregating the results of all completed sub-tasks. Consider this example: Given a general topic from the user, generate a list of related topics, create a joke for each topic, … Read more