Open Source AI

SpiralTrain BV

The course Open Source AI from SpiralTrain dives into the power of open-source LLMs like DeepSeek, Mistral, and LLaMA.

Price

from €1,699

Level

Not specified

Kind

Training

Subject

Automation and IT, Training and education

More information and registration at SpiralTrain BV

Description

Overview of Open LLMs This module explores popular open-source models like DeepSeek, Mistral, and LLaMA. It compares architectures, discusses model hubs like Hugging Face, performance, token usage, pricing, and responsible deployment practices. Getting Started with DeepSeek Participants learn how to install and configure DeepSeek, use multilingual features, and apply basic prompting. The module also covers integration, model compression, performance tips, and deployment options for developers. Prompting and Tooling Explore prompting techniques including zero-shot, few-shot, chaining, and function calling. Learn about LangChain, RAG pipelines, custom memory, vector stores, and managing chat history and agent flows efficiently. Fine-Tuning Open Models This module focuses on fine-tuning workflows using datasets, LoRA, and PEFT. You'll explore training via Colab or AWS, testing outputs, evaluating prompts, embeddings, and enabling models to evolve through continuous learning. Deployment and Scaling Participants learn how to deploy models using FastAPI, Streamlit, and Docker.