KI-Tutorials

A detailed tutorial on the functionalities, comparisons, and practical applications of the Mistral Large Model.

Discover the family of LLMs available and the elements to consider when evaluating which LLM is the best for your use case.

An introductory article on how to perform machine learning using SQL statements in PostgresML.

Learn everything about a versatile open-source application that uses OpenAI and Google AI APIs to provide you with a better user experience. It's available on desktop and browser and can even be privately deployed.

Learn how GPTCache retrieves cached results instead of generating new responses from scratch.

Learn to manage GPT model costs with tiktoken in Python. Explore tokenization, BPE, and estimate OpenAI API expenses efficiently.

Learn how to run inference on GPUs/TPUs and fine-tune the latest Gemma 7b-it model on a role-play dataset.

Master image classification using Hugging Face with a step-by-step guide on training and deploying models in AI and computer vision.

Explore OpenAI's text-embedding-3-large and -small models in our guide to enhancing NLP tasks with cutting-edge AI embeddings for developers and researchers.

A comprehensive guide to Hugging Face Text Generation Inference for self-hosting large language models on local devices.

This step-by-step tutorial offers an in-depth exploration of how to harness the full capabilities of GPT-4, enhancing its performance for specialized tasks through fine-tuning.

Learn about the Claude 3 models, detailed performance benchmarks, and how to access them. Additionally, discover the new Claude 3 Python API for generating text, accessing vision capabilities, and streaming.