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LLM Tutorien

Bleib auf dem Laufenden über die neuesten Nachrichten, Techniken und Ressourcen für große Sprachmodelle. Unsere Tutorials sind voller praktischer Beispiele und Anwendungsfälle, die du nutzen kannst, um dich weiterzubilden.
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LlaMA-Factory WebUI Beginner's Guide: Fine-Tuning LLMs

Learn how to fine-tune LLMs on custom datasets, evaluate performance, and seamlessly export and serve models using the LLaMA-Factory's low/no-code framework.

2. September 2024

RankGPT as a Re-Ranking Agent for RAG (Tutorial)

RankGPT is a method that uses LLMs like ChatGPT to re-rank retrieved documents in RAG systems, improving the quality of the output by prioritizing the most relevant information.

29. August 2024

Building LangChain Agents to Automate Tasks in Python

A comprehensive tutorial on building multi-tool LangChain agents to automate tasks in Python using LLMs and chat models using OpenAI.

28. August 2024

Apple's DCLM-7B: Setup, Example Usage, Fine-Tuning

Get started with Apple's DCLM-7B large language model and learn how to set it up, use it, and fine-tune it for specific tasks.

12. August 2024

How to Run Llama 3 Locally With Ollama and GPT4ALL

Run LLaMA 3 locally with GPT4ALL and Ollama, and integrate it into VSCode. Then, build a Q&A retrieval system using Langchain and Chroma DB.

21. März 2025

Fine-Tuning LLMs: A Guide With Examples

Learn how fine-tuning large language models (LLMs) improves their performance in tasks like language translation, sentiment analysis, and text generation.

4. Dezember 2024

OpenAI Function Calling Tutorial

Learn how OpenAI's new Function Calling capability enables GPT models to generate structured JSON output, resolving common dev issues caused by irregular outputs.

4. Dezember 2024