Michał Żarnecki

mzarnecki/php-rag

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

Gwiazdek

66

Nowe gwiazdki

2

Język

PHP

mzarnecki/course_llm_agent_apps_with_langchain_and_langgraph

AI apps development in LangChain & LangGraph - tutorial notebooks

Gwiazdek

11

Nowe gwiazdki

1

Język

Jupyter Notebook

mzarnecki/ai-codebase-expert

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.

Gwiazdek

6

Nowe gwiazdki

0

Język

Python

mzarnecki/companyDescriptionClassification

The goal of this projest is to present 3 different approaches for text classification (trained ML model, zer-shot transformer, RAG).

Gwiazdek

5

Nowe gwiazdki

0

Język

Jupyter Notebook

mzarnecki/course-generative-ai-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.

Gwiazdek

5

Nowe gwiazdki

0

Język

Jupyter Notebook

mzarnecki/FinGPT

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

Gwiazdek

5

Nowe gwiazdki

0

Język

Jupyter Notebook