The Transformer has been on a lot of people’s minds over the last year five years. This post presents an annotated version of the paper in the form of a line-by-line implementation. It reorders and deletes some sections from the original paper and adds comments throughout. This document itself is a working notebook, and should be a completely usable implementation. Code is available here.
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n this Applied NLP LLM Tutorial, We will build our Custom KnowledgeBot using GPT-Index and LangChain. LangChain for accessing OpenAI and GPT-Index for Vector Index Building and Index Querying - Information Retrieval.
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Igniter helps you find the right AI tools and resources to get the job done faster. From the makers of Not A Bot 🤖 — the world’s most popular AI newsletter.
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OpenAI has finally released the most anticipated ChatGPT model today, called “gpt-3.5-turbo”. Unlike the GPT 3.0 models that work like a search engine, ChatGPT model tracks the conversation to create more useful outputs. In this tutorial, I will go through every single detail on how to get started with the newest OpenAI ChatGPT API in Python.
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Some applications will require not just a predetermined chain of calls to LLMs/other tools, but potentially an unknown chain that depends on the user’s input. In these types of chains, there is a “agent” which has access to a suite of tools. Depending on the user input, the agent can then decide which, if any, of these tools to call.
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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.
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We will build a web app with Streamlit UI which features 4 Python functions as custom Langchain tools. Our agent will also have a short term conversational memory.
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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.
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