Clean up grammatical errors and misspellings in the reference documentation. (#77)
* Fixes misspelling in concepts.adco, 'Prompts' section. * Uses plural form of AI Models in aiclient.adoc. * Fixes several grammatical mistakes in vectordbs.adoc.
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@@ -40,4 +40,4 @@ Planned implementations
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Others are welcome, the list is not at all closed.
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Note, there are several AI Model that are *not* OpenAI provided models, but expose an OpenAI compatible API.
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Note, there are several AI Models that are *not* OpenAI provided models, but expose an OpenAI compatible API.
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@@ -6,7 +6,7 @@ Vector Databases are a specialized type of database that plays an essential role
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In Vector Databases, queries differ from traditional relational databases.
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Instead of exact matches, they perform similarity searches.
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When given a vector as a query, a Vector Database returns vectors that are "similar" to the query vector.
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Further details on how this similarity is calculated at a high level in provided in a later section.
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Further details on how this similarity is calculated at a high-level is provided in a later section.
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Vector Databases are used to integrate your data with AI Models.
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The first step in their usage is to load your data into a Vector Database.
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@@ -55,7 +55,7 @@ However, it encompasses much more than that.
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In many AI Models, the text for the prompt is not just a simple String.
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ChatGPT's API has multiple text inputs within a prompt, with each text input being assigned a role.
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For example, there is the system role, that instructs the model how ot behave and sets the context for the interaction.
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For example, there is the system role, that instructs the model how to behave and sets the context for the interaction.
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There is also the user role, which is typically the input from the user.
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Crafting effective prompts is both an art and a science.
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