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Michał Żarnecki

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Location
Poznań, Poland
City
Poznań
Public repositories
31

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This application uses LLMs like DeepSeek, GPT-5, Claude, Gemini or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen

Stars
66
New stars
2
Language
PHP
Website

Introducing tool to solve development tasks and bug fix tickets in large projects. This project is using GPT-4o LLM and langchain agents to search the project code base and documentation to support development work and fixing issues.

Stars
6
New stars
0
Language
Python

Course Generative AI with LLM in Python that consists of of Jupyter notebooks demonstrating the use of LlamaIndex, LangChain, Ollama, and the Transformers library for building generative AI applications use cases in Python.

Stars
5
New stars
0
Language
Jupyter Notebook

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Stars
5
New stars
0
Language
Jupyter Notebook
Website