| [ | |
| { | |
| "text":"today I will test responses in the cic chatbot with different models I made a script to if the score given by the model is greater then 80% put those questions and answers into an excel and after further review I put the correct answers into a json to use as a training dataset for my model", | |
| "labels":"good" | |
| }, | |
| { | |
| "text":"Today I will finish the sample data and begin building a webapp to host my nba player prop checker and insight sorter.", | |
| "labels":"bad" | |
| }, | |
| { | |
| "text":"today I will be either be working with my group or working on getting accurate responses for the 2k project chatbot by changing prompts to pass to the model switching models and playing with variables like temperature", | |
| "labels":"mid" | |
| }, | |
| { | |
| "text":"Today I aim to get the output of each amazon transcribe job turned into a variable which would be the question asked in the case of my speech to text chatbot. If not possible I will try tensorflow, vosk, ibm, and azure. I aim to have the speech to text back working by the end of the week.", | |
| "labels":"good" | |
| }, | |
| { | |
| "text":"Today I will try out different models for the CIC meetings cb llama 3.2 works good it gave some interesting responses as it used some common sense and not just context when generating the answer. I will then work to get the vectors into a pinecone vector database and then call that in code.", | |
| "labels":"good" | |
| } | |
| ] |