Model Distillation is a very interesting concept to build small models which are almost as efficient as larger models for specific tasks. This post describes the concept in general and how it can b...

Many of the leading Large Language Models only support limited languages currently, especially open-source models and models built by researchers. This post describes some options how to get these ...

Question Answering is one of the most interesting scenarios for Generative AI. While base models have often been trained with massive amounts of data, they have not always been fine-tuned for speci...

Hugging Face provides the Transformers library to load pretrained and to fine-tune different types of transformers-based models in an unique and easy way. This post gives a brief summary about its ...

Watsonx.ai is IBM’s next generation enterprise studio for AI builders to train, validate, tune and deploy AI models including foundation models. This post describes briefly the available trial vers...

IT professionals who want to become AI engineers need to learn new technologies. This post summarizes the languages and frameworks that I’ve started to look into recently. As a developer I’ve lear...

There are different ways to train and tune LLM models. This post summarizes some interesting findings from a research paper whether prompts can change the behavior of models. There are several opt...

This post describes the ‘Chain of Thought’ pattern for large language models. The technique is simple, but at the same time powerful to help AI models to understanding reasoning. Some of my previo...

Retrieval Augmented Generation (RAG) solutions like Question Answering are not easy to evaluate. This post summarizes some options with their pros and cons. Question Answering solutions are more t...

ChatGPT is more than just the GPT model. Similarly, the AI task Question Answering is also more than invoking just one model. This post describes a simple flow that leverages vector search via Chro...