What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings

Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax. Comprehensive, clear, long.

How to use AI to do practical stuff: A new guide

A guide to the useful things one can do with LLMs.To write stuff: nothing comes "even close to GPT-4... access at Bing for free or ... subscription to ChatGPT... GPT-3.5 also good and much faster". Some tips: "Getting good writing out of ChatGPT takes some practice"Paste in your text and ask ChatGPT to improve it, suggest &q;…

Create your Document ChatBot with GPT-3 and Langchain

"build a chatbot capable of extracting any kind of information from a set of documents ... your own Document Assistant from scratch, using GPT-3 and Langchain"Good explainer of using embeddings to get around token limits "using LangChain, which is an open-source library designed to simplify the utilization of LLMs with Chain of Thou…

Using ChatGPT for Question Answering on Your Own Data

"leverage ChatGPT to answer natural language questions on a variety of text repositories... [via a ]combination of embeddings, vector search, and prompt engineering...Embeddings are mathematical representations of words, phrases, or even entire documents as vectors ... sequences [with] similar meaning are “close together” in a high-dimensiona…

Using ChatGPT to extract intelligent insights from multiple documents

"“Document Search Chatbot” ... field common questions (FAQ’s) based on the content of several documents.... Azure Search to extract and rank key highlights from a set of text documents based on a user query. This user query and Azure Search results are then passed to OpenAI to be interpreted and formatted into a chat based response..."Wh…

BLOOM 176B — how to run a real LARGE language model in your own cloud?

How to set up BLOOM on your own cloud."BigScience Large Open-science Open-access Multilingual Language Model:free transformer-based language model created by 1000 researcherstrained on about 1,6 TB pre-processed multilingual text.biggest BLOOM model in parameters is 176B = ~GPT-3 scalesmaller models available: 7b, 3b, 1b7Needs 360 GB of RAM ,…

LLaMA & Alpaca: “ChatGPT” On Your Local Computer 🤯 | Tutorial

"how you can run state-of-the-art large language models on your local computer" using two models which are "comparable or even outperform GPT [but can] run on your local computer... released under a non-commercial license":"dalai library" - allows us to run LLaMA & Alpaca, provides an API "LLaMA: foundationa…

A step-by-step guide to building a chatbot based on your own documents with GPT

" a step-by-step guide for building a document Q&A chatbot in an efficient way with llama-index and GPT API... ask the bot in natural language about your own documents/data... [see it] retrieving info from the documents and generating a response [1]... customer support, synthesizing user research, your personal knowledge management"K…

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