The techniques proposed by prompt engineering allow even very complex tasks to be performed. Some of them, such as zero-shoot, few-shoot and Chain-of-Thought (CoT), manage to provide excellent results in some contexts. Where models have limitations, however, they can be remedied by even more advanced techniques such as Self-Consistency, Generated Knowledge and Tree of Thoughts.
Prompt engineering makes it possible to optimize the results obtained by acting only on what is provided to the LLMs. In recent years, several techniques have been proposed to appropriately structure prompts to solve even complex tasks without having to retrain the initial model. We will look at some simple techniques such as zero-shoot, few-shoot and Chain-of-Thought (CoT).
Creating prompts for LLM models, such as ChatGPT, can be considered a new art. From structuring prompts to using context, it is possible to improve the conversational experience and extract maximum value from interactions with LLMs. Through practical examples, we will see how to best structure prompts to generate engaging and meaningful conversations with AI based on the set task.
The advent of ChatGPT and LLM (Large Language Models) has revolutionized the world. Almost every industry has undergone a revolution and is adopting these powerful means of artificial intelligence to build new tools and services. But how do we build the prompts, i.e., the instructions, to make these models generate what we are interested in? Prompt engineering is the discipline that addresses this very issue. Let’s discover some tips for improving our prompts to artificial intelligence tools.
Databases can play an active role in validating and implementing business rules. Through triggers it is possible, in fact. to define rules to ensure data integrity and automation of critical operations. We will analyze their definition and the different types of triggers, focusing our attention on what is provided in Oracle. Through some practical examples, we will understand how to validate data and implement business rules without having to leave these aspects to applications.
In some scenarios, there is a need to store hierarchies within the database, such as the corporate organizational chart or product categories of an e-commerce store. Although relational databases allow hierarchies to be modeled appropriately, querying them can be difficult and burdensome. Recursive CTEs were introduced to address these needs. We will study their syntax and application through an example, not before also evaluating other technological alternatives such as NoSQL databases.