Large Language Models (LLM's) are starting to revolutionize how users can search for, interact with, and generate new content. Some recent stacks and toolkit...

Real-time coding and exploring nanoGPT with me! See detailed model explanation in Andrej Karpathy's legendary video (best GPT explanation on the internet): h...

Real-time coding and exploring nanoGPT with me! See detailed model explanation in Andrej Karpathy's legendary video (best GPT explanation on the internet): h...

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TL;DR ragas is a framework designed to assess the performance of Retrieval Augmented Generation (RAG) pipelines, a type of LLM application that uses external data to enhance its context. While there are tools to build RAG pipelines, evaluating their performance can be challenging. ragas offers tools rooted in recent research to evaluate LLM-generated text, providing insights into RAG pipeline performance. It can also be incorporated into CI/CD for ongoing performance checks.

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Dive into the world of Ragas, the go-to Retrieval-Augmented Generation (RAG) pipeline evaluator. This comprehensive guide will walk you through its features, metrics, and integrations, making you an expert in evaluating Language Models (LLMs).

Learn Deep Learning with fastai and PyTorch, 2022

Implementing RAG using Langchain

This article unveils the transformative potential of RAG and its integration with LangChain and Vector Databases.

Introduction to LLM App Development Workshop: PDF Q&A App using OpenAI, Langchain, and Chainlit - GitHub - leehanchung/llm-pdf-qa-workshop: Introduction to LLM App Development Workshop: PDF...

A library for efficient similarity search and clustering of dense vectors.

Learn how to use function calling with the GPT-35-Turbo and GPT-4 models

visualizing text splitting & chunking strategiesChunkViz .com I thought I remembered a tool to visualize text chunking, but I couldn't find it, so I built oneI didn't realize it would be so visually pleasing to tinker with4 different @LangChainAI splitters featured https://t.co/4VywxHdqAa pic.twitter.com/vN2kdIBgxd— Greg Kamradt (@GregKamradt) December 8, 2023

Generative Large Language Models like OpenAI's GPT-4, Google's PaLM 2, and Discriminative models like ImageBind are models released in 2023 that combine visu...

According to the StackOverflow Survey 2023, nearly half of professional developers use Postgres. It’s natural then that the Postgres extension for vector similarity search, pgvector, is one of the most popular options for prototyping  AI-powered applications. But how to properly use pgvector? Is it the right tool for your dataset? Do you need an exact […]

📋 A list of open LLMs available for commercial use. - eugeneyan/open-llms: 📋 A list of open LLMs available for commercial use.

Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.

A 3D animated visualization of an LLM with a walkthrough.

In this series, I discuss possible applications of OpenAI to finance and trading. Specifically we analyze financial audio, documents, and text. We will also ...

Simon Willison https://pretalx.northbaypython.org/nbpy-2023/talk/L8HPBK Large Language Models are the engines that power AI tools like ChatGPT, Bing and Bard. They are deeply weird, often frustrating and undeniably fascinating pieces of technology. This talk will attempt to summarize everything I've learned about them over the past year: how they are built, what they can do, what they can't do and how we can best tame them and use them to solve interesting problems. LLMs don't have to be large: I'll talk through the latest developments in openly licensed models you can run on your own devices, including on your phone and even in your web browser. I'll also discuss their as-yet unconquered security flaws, and the bewildering ethical implications of how they are trained and what they can damage. North Bay Python is a boutique one-track conference, held in Petaluma, California. Our first events were held in 2017-2019 in a 100 year-old theater in the city's downtown. After a planned one-year break that's turned into almost four years, we're excited to return! This year, we're holding our conference in July, in a barn, on a ranch overlooking the Petaluma River. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Sun Jul 30 16:10:00 2023 at Reis River Ranch

A data engineering book to understanding design patterns, exploring the concept of convergent evolution and its significance.

Passage provides passwordless authentication that you can add to your app or website with just a few lines of code. Learn more.

Ever wonder what an LLM actually looks like under the hood? This visualization is mesmerizing. Check it out yourself: https://t.co/Bp9e8r8AzO pic.twitter.com/f2oxoEQnma— MatthewBerman (@MatthewBerman) December 5, 2023

3 free courses to learn more about large language models:1. @cohere LLM University2. @huggingface NLP course3. @LangChainAI and @DeepLearningAI_ LangChain for LLM Application DevelopmentLinks 👇🏼 pic.twitter.com/zllaBVvXZn— Ksenia Se (@Kseniase_) December 2, 2023

In this video learn how to convert words in an input sentence into tokens that the model can accept as valid inputs along with special tokens such as pad, st...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.