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LLM-handledningar
Håll dig uppdaterad med de senaste nyheterna, teknikerna och resurserna för Large Language Models. Våra handledningar är fulla av praktiska genomgångar och användningsfall som hjälper dig att utveckla dina färdigheter.
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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 augusti 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 augusti 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 augusti 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 mars 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 december 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 december 2024