Writing effective prompts for LLMs
Requires some experimenting but
Still there are some common approaches how to write good prompts so LLM would not get confused trying to understand what you wand from it.
AI
Training Object Detector AI with Label Studio & MMDetection
Labelling and training needs some glueing
When I trained object detector AI some time ago - LabelImg was a very helpful tool, but the export from Label Studio to COCO format wasn’t accepted by MMDetection framework..
Comparing LLM Summarising Abilities
8 llama3 (Meta+) and 5 phi3 (Microsoft) LLM versions
Testing how models with different number of parameters and quantization are behaving.
Move Ollama Models to different location
Ollama LLM model files take a lot of space
After installing ollama better to reconfigure ollama to store them in new place right away. So after we pull a new model, it doesn’t get downloaded to the old location.
Large Language Models Speed Test
Let's test the LLMs' speed on GPU vs CPU
Comparing prediction speed of several versions of LLMs: llama3 (Meta/Facebook), phi3 (Microsoft), gemma (Google), mistral(open source) on CPU and GPU.
Logical Fallacy Detection with LLMs
Let's test logical fallacy detection quality of different LLMs
Here I am comparing several LLM versions: Llama3 (Meta), Phi3 (Microsoft), Gemma (Google), Mistral Nemo(Mistral AI) and Qwen(Alibaba).
Object Detection With Tensorflow
Quite some time ago I trained object detector AI
On one cold winter day in July … that is in Australia … I felt urgent need to train AI model for detecting uncapped concrete reinforcement bars…