Refactor lab 1 for Netron and local confidence views

content/labs/lab-3-llama-cpp-and-ollama.md

@@ -179,7 +179,7 @@ We should then see:
 
 A text listing of all of the model's tensors, and the precision of each. Because we have merely converted the model's format, and not performed quantization, the model is still in **FP16**.
 
-- This is a text view of the previous graphical view we saw in **Lab 1, Objective 2: Visualizing a LLM**. While **TransformerLab** calls tensors **layers**, terms such as **tensors**, **layers**, and **blocks** can all be used semi-interchangeably, depending on the tool in question. We will further confuse these topics when we get to the Ollama objective below.
+- This is a text view of the previous graphical view we saw in **Lab 1, Objective 2: Visualizing a LLM**. While tools such as **Netron** may expose tensors, operators, and repeating blocks with different labels, terms such as **tensors**, **layers**, and **blocks** can still be used semi-interchangeably at this level of discussion. We will further confuse these topics when we get to the Ollama objective below.
   - Pedantically, the proper definitions are:
     - Tensor - A multi-dimensional array of vectors to store data
     - Layer - A base computational unit in a neural network