vault backup: 2024-06-13T16:01:47

Affected files:
content/projects/Breadboard/Phase 2/LM Studio.md
content/projects/Breadboard/Phase 2/Ollama.md

Author: Mearman

content/projects/Breadboard/Phase 2/LM Studio.md

@@ -6,15 +6,15 @@ tags:
   - lm_studio
   - local_ai
 created: 2024-05-31T19:25:49
-modified: 2024-06-13T13:15:18
+modified: 2024-06-13T16:01:42
 ---
 
-<iframe width="100%" height="400" src="https://www.youtube.com/embed/0qr_Tk39zWg?rel=0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
 ## Introduction
 
 Here we demonstrates the integration of a local language model with a Breadboard using the LM Studio software. Below, we will guide you through the process and explain the functionality of each input parameter.
 
+<iframe width="100%" height="400" src="https://www.youtube.com/embed/0qr_Tk39zWg?rel=0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
 ## Objective
 
 The goal of this project is to showcase how easy it is to integrate a breadboard with a language model and to provide a step-by-step example using the LM Studio software.
@@ -100,5 +100,3 @@ To make a cake, you will need the following ingredients:
 ## Conclusion
 
 This example illustrates the simplicity and potential of integrating breadboards with language models using LM Studio. By following the steps outlined above, you can create responsive and contextually aware applications.
-
-We hope you found this guide useful. For further inquiries or advanced configurations, feel free to contact our support team.

content/projects/Breadboard/Phase 2/Ollama.md

@@ -9,7 +9,40 @@ tags:
   - local_llm
   - ollama
 created: 2024-05-31T19:23:54
-modified: 2024-06-13T14:34:40
+modified: 2024-06-13T16:01:22
 ---
 
+This documentation provides an overview of how a well-designed breadboard can interact with multiple language models simultaneously.
+
+## Introduction
+
+In this demonstration, we showcase the capability of a breadboard to interface with different language models running locally. This setup is beneficial for developers as it allows for flexibility and ease of switching between models.
+
 <iframe width="100%" height="400" src="https://www.youtube.com/embed/lMur1gqobFg?rel=0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+## Setup Overview
+
+We have three instances of the breadboard web editor, each configured to interact with a different language model:
+
+1. **Instance 1**: Connected to the Lama three model.
+2. **Instance 2**: Connected to the Minstrel model.
+3. **Instance 3**: Connected to the Gamma model.
+
+## Input Configuration
+
+The input parameters for each instance are straightforward:
+
+- **Model Input**: Specifies the language model to interact with.
+- **Prompt**: The question or action to be performed by the language model.
+
+## Running the Demonstration
+
+Upon running the breadboard instances, each one interacts with its respective language model on the local machine. The responses from the models are then gathered for analysis.
+
+## Results
+
+The demonstration successfully shows that the same breadboard can be used to interact with multiple language models concurrently. This highlights the flexibility and power of the breadboard design, making it easier for developers to switch between models or adapt the boards for different models with minimal adjustments.
+
+## Conclusion
+
+This demonstration underscores the versatility of breadboards in managing multiple language models. With the ability to tweak and reuse boards, developers can streamline their workflows and enhance productivity.