Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)
Client package for interacting with language models avaliable on the groq api with numerous integrations: composio, toolhouse, jigsawstack, e2b, and more.
LoRA fine-tuning pipeline for tool-calling chat LLMs with config-driven datasets, deterministic prompts, and built-in tool-call evaluation.
The LangChain Crash Course repository serves as a comprehensive resource for beginners who are ready to learn LangChain, a programming framework designed for creating AI agents, building RAG (Retrieval-Augmented Generation) chatbots, and automating tasks using artificial intelligence.
From bug solving to answering your questions, we've got you covered. Streamline your understanding, get expert guidance, and conquer coding challenges effortlessly.
implement an LLM-powered chatbot. This chatbot will be able to have a conversation and remember previous interactions.
Build an end-to-end LoRA fine-tuning pipeline for a 4-bit Qwen2.5-0.5B chat model using Unsloth. You'll load the quantized base, attach LoRA adapters, format a tiny instruction dataset, run a featherweight SFT job, and generate a reply from the tuned model.
Uncensored Ai Chatbot, an open natural language processing utility designed to explore unrestricted conversational responses and complex prompt interactions. It provides a seamless user experience to help researchers and developers test model limits, evaluate safety guardrails, and analyze conversational capabilities efficiently.
This project is a modular LangChain-based application that demonstrates how to build, organize, and run LLM-powered systems using modern AI engineering practices. It covers the full pipeline—from LLM and chat models to embeddings, chains, prompts, and Retrieval-Augmented Generation (RAG)—all organized in a clear and scalable folder structure.
Hugging Face Inference API offers cloud-based access to models without setup, ideal for fast deployment. Running models locally provides more control, privacy, and offline access but needs downloads and hardware. Choose APIs for quick prototyping, or local for custom and secure workflows.
Beginner-friendly LangChain tutorial with Python,Golang examples for building AI agents, chatbots, and LLM-powered apps.
RAG supported Chat API using Ollama LLM
Menstrual Health Guide Model
LoRA fine-tuning pipeline for tool-calling chat LLMs with config-driven datasets, deterministic prompts, and built-in tool-call evaluation.
A simple and flexible Python-based translator using chat models (e.g., Google Gemini) to translate text between user-configured source and target languages. Supports both command-line interactive use and direct programmatic integration. Donate me: https://paypal.me/hnthap
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