Mistral Small, Gemma 2, Qwen 2.5, Mistral Nemo, LLama3 and Phi - LLM Test
Next round of LLM tests
Not long ago was released. Let’s catch up and test how Mistral Small performs comparing to other LLMs.
AI
Flux text to image AI model
Awesome new AI model to produce image from text
Recently Black Forest Labs published a set of text-to-image AI models. These models are told have much higher output quality. Let’s try them out
Choosing best LLM for Perplexica
So many models with billions of parameters..
Testing how Perplexica performs with various LLMs running on local Ollama: Llama3, Llama3.1, Hermes 3, Mistral Nemo, Mistral Large, Gemma 2, Qwen2, Phi 3 and Command-r of various quants and selecting The best LLM for Perplexica
Farfalle vs Perplexica
Comparing two self-hosted AI search engines
Awesome food is the pleasure for your eyes too. But in this post we will compare two AI-based search systems, Farfalle and Perplexica.
Self-hosting Perplexica - with Ollama
Running copilot-style service locally? Easy!
That’s very exciting! Instead of calling copilot or perplexity.ai and telling all the world what you are after, you can now host similar service on your own PC or laptop!
Gemma2 vs Qwen2 vs Mistral Nemo vs...
Testing logical fallacy detection
Recently we have seen several new LLMs were released. Exciting times. Let’s test and see how they perform when detecting logical fallacies.
LLM Frontends
Not so many to choose from but still....
When I started experimenting with LLMs the UIs for them were in active development and now some of them are really good.
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.
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
Comparing several versions LLMs: llama3 (Meta), phi3 (Microsoft), gemma (Google), mistral(open source) 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…