Awesome-Pytorch-list Link

ChatGPT came out a few months ago and blew everyones’ minds with its ability to answer questions sourced from a broad set of knowledge. Around the time that ChatGPT was demonstrating how powerful large language models could be, the Dagster core team was facing a problem. Link

The conversational way of generating code with ChatGPT works well with the cell structure of Jupyter Notebooks Link

In this repository, I will share some useful notes and references about deploying deep learning-based models in production. Link

A framework for composing retrieval models and language models into powerful pipelines that tackle knowledge-intensive tasks. Link

GPT-3 Voice AI Chatbot in Python Link Excel

Graph Neural Networks (GNNs) have become increasingly popular for processing graph-structured data, such as social networks, molecular graphs, and knowledge graphs. However, the complex nature of graph-based data and the non-linear relationships between nodes in a graph can make it difficult to understand why a GNN makes a particular prediction. With the rise in popularity of Graph Neural Networks, there also came an increased interest in explaining their predictions. Link

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It is well-known that ChatGPT is currently capable of impressive feats. It is likely that many individuals have ideas for utilizing this technology in their own projects. However, it should be noted that ChatGPT does not currently have an official API. Using an unofficial API may result in difficulties. Link

Simplifying data analysis for everyone Link

Taking inspiration from Hugging Face Hub, LangChainHub is collection of all artifacts useful for working with LangChain primitives such as prompts, chains and agents. The goal of this repository is to be a central resource for sharing and discovering high quality prompts, chains and agents that combine together to form complex LLM applications. Link

GPT-3 chatbot with long-term memory and external sources. Link

Understanding the major differences between the Python libraries Pandas and Polars for Data Science Link

From any synopsis, generate a solid plot. Link

Public Hello World to get used to Python and GPT-3 Link