Tutorials

The Uncomfortable Truth About LLM Benchmarks Here’s a fact that might surprise you: GPT-4, Claude 3.5, and Gemini all score nearly identically on traditional fluency metrics. Yet anyone who’s used these models in production knows they behave very differently. Your chatbot hallucinates less with Claude. Your summarization pipeline produces more accurate outputs with GPT-4. Your document extraction works better with a fine-tuned smaller model than any of the giants. So what’s going on? Why are we still chasing BLEU scores and perplexity when they clearly don’t predict real-world performance? ...

Fine-Tune BERT for Text Classification with TensorFlow Figure 1: BERT Classification Model We will be using GPU accelerated Kernel for this tutorial as we would require a GPU to fine-tune BERT. Prerequisites: Willingness to learn: Growth Mindset is all you need Some basic idea about Tensorflow/Keras Some Python to follow along with the code Initial Set Up Install TensorFlow and TensorFlow Model Garden import tensorflow as tf print(tf.version.VERSION) Cloning the Github Repo for tensorflow models ...