AI

Out of the box implementation based on the code of the tutorial: AlphaZero Link Video

Building the Knowledge Graph Link

This notebook has all the code you need to create your own chatbot with custom knowledge base using GPT-3. Link

In this video, we are joined by Harrison Chase, founder of LangChain. LangChain is a popular open source library focused on making it easier to build AI features and applications, specifically focused on integrating GPT and other language models. Link

This article will introduce the concept of analytic augmentation, a prompt engineering metholodogy that can be used to improve the factual results of LLMs and limit hallucinations. Link

These installation steps for unstructured enables document loader to work with all regular files like txt, md, py and most importantly PDFs. Link

6 GPT-3 tips for getting the output you’re looking for Link

HugNLP is a novel development and application library based on Hugging Face for improving the convenience and effectiveness of NLP researchers. The founder and main developer is Jianing Wang. The collaborators (programmers) are Nuo Chen and Qiushi Sun. Link

Intelligent question-answering and search for user interviews, powered by GPT-3. Link

LangChain 101 Agents Guide - Agents are bots that take action on your behalf. They connect LLMs to the outside world. Link

LangChain 101: Ask Questions On Your Custom (or Private) Files + Chat GPT Link

Join me as I build streaming inference into the Hugging Face text generation server, going through cuda, python, rust, grpc, websockets, server-sent events, and more… Link

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.

It has been less than 18 months since we published our last MAD landscape, and it has been full of drama. Link

AI tools, podcasts, prompts, newsletter, and movies. Join now become smarter on AI & try new AI tools daily. Link