Model Behaviour Change Detection for LLM black-box like outputs : Advice needed

<!-- SC_OFF --><div class="md"><p><a href="https://www.reddit.com/r/MachineLearning/?f=flair_name%3A%22Project%22"></a>Hey everyone. I’ve been working on a machine learning

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1sw0vcf/stanford_researchers_fed_a_language_model_a_dna/"> <img alt="Stanford researchers fed a language model a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s1ckkm/why_llms_sound_right_but_fail_to_actually_do/"> <img alt="Why LLMs sound right but fail to actually

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m currently working on a project to build a <strong>100% local AI chatbot</strong> for a government-related use case

<!-- SC_OFF --><div class="md"><p>Hi reddit! I made this post on <a href="/r/MLQuestions">r/MLQuestions</a>, but I am posting it here too for spread:)</p> <p>This is a case I have

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- SC_OFF --><div class="md"><p>Hey guys, I am an undergrad based in the United States. As a part of my independent summer research, I am doing Federated Learning to detect

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I'm a Computer Engineering student working on my final degree project (TFG), and I have around 300 hours to complete it.</p>