Due to the “black box” nature of LLMs, responses to prompts are non-deterministic. This means that responses may differ based on phrasing/iteration and the LLM may not even provide a duplicate answer to the same prompt. There is also the chance of the model creating “hallucinations” in its response, which is another way of saying…
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Bias in AI datasets
The term “garbage in, garbage out” is especially accurate when it comes to the training datasets used for AI models. To train AI, several tools are used including algorithms, statistics, and rules-based systems. When AI is being trained, patterns emerge and with enough repetition models develop that “model” the training dataset enabling AI to make…
Fundamental AI
Human intelligence varies. One person may have a “knack” for communicating with others, while another person may naturally excel in athletic achievements. AI is a lot like that, while there is not a general AI that is good at everything, through machine learning AI models can be specialized to any number of specific tasks. AI is used…
Development types and sandbox modeling
Application Lifecycle Management at its most basic is a way to manage changes to a Production Org. Salesforce provides dedicated development environments known as Sandboxes. Salesforce also offers three different development types designed to scale by project complexity, development team size, and the metadata being worked on. Change Set Development: Change Set development is a…
Record Relationship Types
Salesforce provides options for standard and custom objects to facilitate record creation and cataloging. But with a collection of objects all storing record data, shouldn’t there be a way to just view the object data in one place? This is where object relationships come in handy. With object relationships, record data can be connected loosely, directly, the…