GRNET, in the context of Smart Attica EDIH (European Digital Innovation Hub), announces the 12th training module of its Training Modules for SMEs with the subject “Inference with Transformers & Semantic Search with Sentence Transformers“.

Date: Monday, on June 22, at 11:00 EET

Location: Online via Zoom

Presentation Languages: Greek, English

Instructor: Nikos Bakas (GRNET), Roman Dolgopolyi (GRNET)

Duration: 3 hours

Description: This is a hands-on introduction to running open Large Language Models and turning text into meaning with embeddings. Participants learn how to load a pre-trained model from the HuggingFace Hub, generate text with streaming, and control the tokenizer and chat template. The second half covers Sentence Transformers, showing how text is mapped into vectors and how cosine similarity reveals semantic relationships between words and sentences – the foundation of modern search and retrieval systems.

Target Audience: This module is designed for SME developers, technical leads, and data scientists who want to incorporate natural language processing (NLP) into their projects. It is ideal for those looking to run models in their own environment and understand the building blocks behind semantic search and RAG.

Read more and register here.