AI and Data Science Master the art of data science. Join now
In questo post, esploreremo il processo di chiamata di un modello LLM (Linguistic Language Model) tramite il servizio IBM Watsonx.ai, sfruttando la potenza e la flessibilità di IBM Cloud Code Engine. Vedremo come integrare efficientemente questa soluzione nella nostra architettura cloud,...
Nell'era della trasformazione digitale, la ricerca dell'efficienza all'interno delle aziende ha portato all'adozione rapida dell'intelligenza artificiale (AI). Gli strumenti basati sull'AI promettono di ottimizzare i processi, aumentare la produttività e aprire nuovi percorsi di innovazione....
Those of us working in Data and AI recognize that we're at a pivotal moment in human history. In the coming decade, many low-value tasks, such as data wrangling and routine reporting, will be automated through technology. If executed well, this will make us significantly more productive...
Learn how to run Llama2 in Watsonx step by step Llama2 from MetaAI is the second version of their open source large language model, now available for free for research and commercial use. Llama2 is a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from...
Hands-on learning for generative AI technologies Learn the fundamental concepts for AI and generative AI, including prompt engineering and large language models. Explore the best open source tech (PyTorch, CodeFlare, Caikit, Ray/KubeRay, KServe/ModelMesh, and Hugging Face open source...
A named entity is a word or group of words that represent a real-world object, such as a person, date, place, organization, or product. Named Entity Recognition (NER) is a subtask of Natural Language Processing (NLP) that involves identifying and extracting named entities from text. The goal...