Hi everyone, I am working on getting an exact response from the Llama3.1:8b-instruct. I have set the following parameters: - temperature = 0 - top_k = 1 - seed = 0 but the results vary. Out of 10 requests, I got responses like ~3, ~3, ~3, and ~1, which are quite similar. Any ideas, to get exactly same responses Thanks 😊

Hi everyone, I am working on a project using LLaMA 3:8B or LLaMA 3.1:B with Ollama. The issue I'm facing is ensuring the output is robust and follows the exact format specified. For example, when I provide a prompt that should force the following output: ```json { "name": "Ali", "age": 20, "major": "CS" } ``` The actual output sometimes looks like this due to variations in the input: ```json { "name": "Ali", "city": "xxx" } ``` as shown it not return certain expected fields (if not exist its not return '' ) and it add field not asked in prompt output format. any ideas thanks

I am considering subscribing to GitHub Copilot and GitHub Copilot Lab after watching Dave’s video to enhance my coding skills in Machine Learning and Deep Learning. However, I would also like to hear from anyone who has experience, good or bad, with these tools before I make a decision. Thanks, Joe

Extremely recently I've started my "data science" journey and I've found maths is heavily involved. What key math concepts should beginners focus on, and how can I improve my math skills?

I've tried a variety of open-source LLMs, but I've found that GPT-3.5 gives the best responses, and sometimes only GPT-4 performs better. What about you?