Build Industry-Specific LLMs Using Retrieval Augmented Generation

Organizations are in a race to adopt Large Language Models. Let’s dive into how you can build industry-specific LLMs Through RAG

Organizations are in a race to adopt Large Language Models. Let’s dive into how you can build industry-specific LLMs Through RAG
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Live Demo / Download -- In this tutorial, we will utilize the power of HTML canvas to...
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Explained with an example use case.

Large language models such as GPT-3/4, LLaMA and PaLM work in terms of tokens. They take text, convert it into tokens (integers), then predict which tokens should come next. Playing …
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Want to learn more about LLMs and build cool LLM-powered applications? This free Full Stack LLM Bootcamp is all you need!
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The model quickly top the Open LLM Leaderboard that ranks the performance of open source LLMs.

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A beginner's guide to understanding autonomous AI agents and their importance.
Chapter I. Why you should learn about non-Euclidean ML

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tldr; techniques to speed up training and inference of LLMs to use large context window up to 100K input tokens during training and…

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The Observe.AI contact center LLM showed a 35% increase in accuracy compared to GPT-3.5 when automatically summarizing conversations.
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With the release of PyTorch 2.0 and ROCm 5.4, we are excited to announce that LLM training works out of the box on AMD MI250 accelerators with zero code changes and at high performance!

10 ChatGPT Plugins for Data Science Cheat Sheet • Noteable Plugin: The ChatGPT Plugin That Automates Data Analysis • 3 Ways to Access Claude AI for Free • What are Vector Databases and Why Are They Important for LLMs? • A Data Scientist’s Essential Guide to Exploratory Data…

This article provides a series of techniques that can lower memory consumption in PyTorch (when training vision transformers and LLMs) by approximately 20x without sacrificing modeling performance and prediction accuracy.
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A guide to understanding support vector machines for classification: from theory to scikit-learn implementation.

Reducing the dimension of a dataset using methods such as PCA

Google is launching its AI-backed note-taking tool to "a small group of users in the US," the company said in a blog post. Formerly referred to as Project Tailwind at Google I/O earlier this year, the new app is now known as NotebookLM (the LM stands for Language Model). The…

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In part one of this series on Devise, we'll cover the basics of the Devise gem.

Developed by ETH Zürich, the language explores new paradigms for LLM programming.

Chapter 16, Reusing Previous Computations, is now finished!