rong4ivy
Follow
Stars
Repo for AI Republic's AI Engineering Course - Winter 2024
Repository for the "Building LLMs for Production" book by Towards AI.
High-performance runtime for multi-agent systems. Build, run and manage secure multi-agent systems in your cloud.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
Promptimize is a prompt engineering evaluation and testing toolkit.
Prompt工程师指南，源自英文版，但增加了AIGC的prompt部分，为了降低同学们的学习门槛，翻译更新
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
《LangChain 简明讲义：从 0 到 1 构建 LLM 应用程序》书籍的配套代码仓库 (code repository for "LangChain Quick Guide: Building LLM Applications from 0 to 1")
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
Power BI Masterclass - Python, Finance, and Advanced DAX, by Packt Publishing
This project involved analyzing Zomato restaurant data using advanced Excel functions and SQL queries, and creating interactive dashboards using Power BI and Tableau. The project provided valuable …
Advanced Power BI visualization
All-in-one platform for search, recommendations, RAG, and analytics offered via API
The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
DSPy: The framework for programming—not prompting—language models
Attention-based end-to-end ASR on TIMIT in PyTorch
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
Pytorch implementation of a Variational Autoencoder trained on CIFAR-10. The encoder and decoder modules are modelled using a resnet-style U-Net architecture with residual blocks.