Clerkie-cli is a terminal tool that uses an LLM to help debug and troubleshoot coding errors in any programming language. It offers explanations, suggested fixes, guidance, alternative approaches, and code examples. It is useful for developers of all skill levels.

Example code for extracting Q&A datasets from LLM's

Code examples to accompany the paper: "ChatGPT for Textual Analysis? How to use Generative LLMs in Accounting Research"

Code repository for "Building Agentic AI" by Sinan Ozdemir. Practical examples, experiments, and implementations covering LLMs, embeddings, agents, RAG, fine-tuning, and optimization.

The blog, read report and code example for AGI/LLM related knowledge.

Simple getting-started code examples for LLM applications powered by OctoAI

Claude Code best practices -- applied to application design. Interactive HLD/LLD visualization, implementation example. LLM-agnostic, DB-governed, GDPR-ready.

PineScript Expert: A Retrieval-Augmented Generation (RAG) agent using Pydantic AI that provides accurate Pine Script v6 guidance. It answers questions, offers code examples, and generates custom indicators/strategies for TradingView. Combines vector search with LLM capabilities for precise Pine Script programming assistance.

A targeted resource for mastering LangChain, featuring practice problems, code examples, and interview-focused concepts for building AI applications with Python. Covers chaining LLMs, memory management, and tool integration for technical interview success.

Learn to build powerful AI agents from scratch. This repository contains tutorials, examples, and production-ready code for implementing intelligent automation with LLMs and multi-agent systems.

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Using large language models (LLM) for programming! Here you'll find useful tips, examples, instructions, and other materials to help you create code with the help of AI

Source Code for FSE-25 research paper "No More Labelled Examples? An Unsupervised Log Parser with LLMs".

Documentation and examples for LLM-assisted Strudel live coding composition

✍️ Dive into this repository to explore a treasure trove of code examples, showcasing various methods and approaches for working with LLMs. These examples are inspired by my own learning journey and personal experiences, designed to ignite your passion for AI and machine learning.

This project involves code for summarization of legal documents with a two step process. First we fine-tune the llm for legal documents using a big check and Indian cases and their summaries using LoRA and then we use RAG for better in context examples.

A Python-based project demonstrating integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for enhanced AI-driven applications. Includes code examples and tutorials for leveraging APIs and RAG techniques to build intelligent systems.

This repository provides example code for fine-tuning Large Language Models using QLoRA (Quantized Low-Rank Adaptation). It demonstrates training with Mistral-7B-Instruct, including scripts, configs, and guidance for building efficient, low-resource LLM applications.

Code for our NeurIPS 2024 paper Improved Generation of Adversarial Examples Against Safety-aligned LLMs

answering questions using LLMs, search (RAG) and other tools - example code

Code example for pretraining an LLM with vanilla PyTorch training loop

Build and understand Large Language Models (LLMs) from the ground up with hands-on tutorials and example code.

Example code for using the Instructor python library with Groq and OpenAI LLMs

A four-track LLM knowledge base — from math foundations to production deployment — covering architecture, pre-training, alignment, RAG, agents, and LLMOps, with 200+ notes and runnable code examples.

A collection of advanced LangChain modules and utilities in Python, enhancing LLM applications with custom tools, memory management, and RAG integrations. Includes code examples and tutorials for building sophisticated AI-driven workflows and applications.

Example code for fine tuning Local LLMs with RAG using Ollama and Langchain

Articles and code examples for how to use LLMs for finance

The complete guide to free AI/LLM inference APIs — 20+ providers, 81+ verified $0 models, rate limits, context windows, and code examples

Code repository for hosting llm.js examples

This repository contains code examples from the article on building knowledge graphs and leveraging them for LLM queries, using the Llama-Index library.