Ada AI is capable of accepting user prompts within a quick amount of time due to the optimization of the Tensor-RT Engine. The goal was to create a high-functioning AI with the least amount of memory requirements. Ada was trained on TensorRT-LLM to speed up its processing time. Here is the steps of how to set-up this file to run:

#################################################### Step 1: Download the FinalAda.ipynb file. ############################################################################## Step 2: Use Google Collab environment and this will work only with a GPU (Preferably the A100 one) ########################################################################################### Step 3: Run the LLM - RT Set - Up #################################################################### Step 4: Install TensorRT-LLM for x86_64 users for Mixtral AI and Install for Distilled Whisper Build AI. ############################################################################################################# Step 5: Install and import libraries for Mixtral AI and for All AI Files ############################################################################################################################ Step 6: Run the Model - Distilled Whisper, Gradio Stable Diffusion Cascade, and Voice AI for Ada including Model Running and Token saving (Short Term Memory and Long Term Memory with Zep). This Model Requires a A100 GPU to run at its most Optimal but other GPUs should work as well; the code execution just may not be as fast. ################################################################# Step 7 (Alt.): If the Google environment does not support mic access, then run the last code block to run just the Mixtral model without it. ############################################################################## Note: You will need an Elevenlabs API Key to access the Elevenlabs AI voice option.