Update concepts.mdx (superagent-ai#414)

fern/mdx/concepts.mdx

@@ -8,7 +8,7 @@ specific task or set of tasks. In the context of Supergent, an agent is
 a Large Language Model that has access to a suite of datasources and tools and can
 decide which datasources/tools to use based on user input. One or many agents can power an AI Assistant.
 
-Every Agent is equipped with a feature refferd to as `memory`. This is a crucial component
+Every Agent is equipped with a feature referred to as `memory`. This is a crucial component
 that allows the Agent to retain and recall information from its interactions.
 Memory can be thought of as the agent's short-term memory, storing recent inputs and outputs
 for reference during its current task. This enables the agent to maintain context and provide
@@ -23,7 +23,7 @@ The data is split and chunked into manageable pieces. These chunks are then inge
 Alternatively, the chunked data can also be used for fine-tuning the language models specific to each Agent. 
 This process enhances the Agent's ability to understand and respond to user queries more accurately and contextually.
 
-Below is an overview of all avaialble datasorces:
+Below is an overview of all available data sources:
 
 | Datasource                       
 | -------------------------- | 
@@ -75,7 +75,7 @@ The flexibility of workflows enables the creation of sophisticated systems capab
 
 ### LLMs
 
-Language models are the core computational models that power the functionality of an Agent, the nuclear power plant of an Agent, . 
+Language models are the core computational models that power the functionality of an Agent, the nuclear power plant of an Agent. 
 They are trained on vast amounts of text data and learn to predict the likelihood of a sentence or to generate a piece of text that follows a given input. 
 In the context of Superagent, language models are used to understand and generate human-like text based on the user's input and the context provided by the Agent's memory, datasources, and tools. 
 These models are the driving force behind the Agent's ability to engage in meaningful and contextually relevant interactions with the user.