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Setting up your computer
Prompting basics
Accessing LLMs
Chatbots
Function / Tool calling

Image generation

Image manipulation

Generating Videos, Books, Slides and online content

Synthesizing data

Code generation

Vision language models

Auto-generating PowerPoint files with chatGPT and Dall-E

Retrieval Augmented Generation

Solving github issues

Model Fine-Tuning in the cloud

Model Fine-Tuning locally

Site Navigation

Setting up your computer
Prompting basics
Accessing LLMs
Chatbots
Function / Tool calling

Image generation

Image manipulation

Generating Videos, Books, Slides and online content

Synthesizing data

Code generation

Vision language models

Auto-generating PowerPoint files with chatGPT and Dall-E

Retrieval Augmented Generation

Solving github issues

Model Fine-Tuning in the cloud

Model Fine-Tuning locally

Ctrl+K

Generative Artificial Intelligence Notebooks

Setup

Setting up your computer
- Installation instructions for Scientific Computing Uni Leipzig (paula)

LLM basics

Prompting basics
Accessing LLMs
Chatbots
- Programming an LLM-based chatbot
- A Chatbot GUI
Function / Tool calling
- Function calling using ollama
- Function calling using ScaDS.AI’s LLM service

Multi-Modal LLMs

Image generation
Image manipulation
Generating Videos, Books, Slides and online content
- Video generation
Synthesizing data
- Generating synthetic customer data
- Combining LLMs with Random number generators for data generation
Code generation
Vision language models

Advanced Prompt Engineering

Auto-generating PowerPoint files with chatGPT and Dall-E
Retrieval Augmented Generation
Chat with Docs
Solving github issues
Agents
Model Fine-Tuning in the cloud
Model Fine-Tuning locally
Benchmarking

Links

Imprint

repository
open issue

.md

Chatbots

Chatbots#

In this session we will program a chatbot that can answer questions.

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Huggingface Serverless Inference

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Programming an LLM-based chatbot

By Robert Haase

Last updated on 2025-02-25.

Copyright: Licensed CC-BY 4.0 unless mentioned otherwise. Contributions and feedback are welcome.