What OpenAI Really Wants
The young company sent shock waves around the world when it released ChatGPT. But that was just the start. The ultimate goal: Change everything. Yes. Everything.
llms
A Beginner’s Guide to Building LLM-Powered Applications with LangChain!
If you're a developer or simply someone passionate about technology, you've likely encountered AI...
iryna-kondr/scikit-llm: Seamlessly integrate LLMs into scikit-learn.
Seamlessly integrate LLMs into scikit-learn.
Prompt Engineering — How to trick AI into solving your problems
7 prompting tricks, Langchain, and Python example code
A Beginner’s Guide to LLM Fine-Tuning
How to fine-tune Llama and other LLMs with one tool
Together AI Unveils Llama-2-7B-32K-Instruct: A Breakthrough in Extended-Con
A multifaceted challenge has arisen in the expansive realm of natural language processing: the ability to adeptly comprehend and respond to intricate and lengthy instructions. As communication nuances become more complicated, the shortcomings of prevailing models in dealing with…
A Practical Introduction to LLMs
3 levels of using LLMs in practice
BERT — Intuitively and Exhaustively Explained
Baking General Understanding into Language Models
Meet Chroma: An AI-Native Open-Source Vector Database For LLMs: A Faster Wa
Word embedding vector databases have become increasingly popular due to the proliferation of massive language models. Using the power of sophisticated machine learning techniques, data is stored in a vector database. It allows for very fast similarity search, essential for many…
Chaining Prompts
In this chapter, you'll learn how to concatenate multiple endpoints in order to generate text. You'll apply this by creating a story.
Variational Autoencoder (VAE) with Discrete Distribution using Gumbel Softm
Theory and PyTorch Implementation
How to Extract Text from Any PDF and Image for Large Language Model | by Zo
Use these text extraction techniques to get quality data for your LLM models
Introducing OpenLLM: Open Source Library for LLMs
A user-friendly platform for operating large language models (LLMs) in production, with features such as fine-tuning, serving, deployment, and monitoring of any LLMs.
Abacus AI Introduces A New Open Long-Context Large Language Model LLM: Meet
Recent language models can take long contexts as input; more is needed to know about how well they use longer contexts. Can LLMs be extended to longer contexts? This is an unanswered question. Researchers at Abacus AI conducted multiple experiments involving different schemes…
How to use LLMs for PDF parsing
Using ChatGPT & OpenAI's GPT API, this code tutorial teaches how to chat with PDFs, automate PDF tasks, and build PDF chatbots.
How to Chat With Any File from PDFs to Images Using Large Language Models —
Complete guide to building an AI assistant that can answer questions about any file
Transforming AI with LangChain: A Text Data Game Changer
Learn how to unleash this Python library to enhance our AI usage.
How to Leverage Open-Source LLMs in Your Project
Practical Advice from Experts: Fine-Tuning, Deployment, and Best Practices
LangChain 101: Build Your Own GPT-Powered Applications
LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.
MPT-30B: Raising the bar for open-source foundation models
Latest blogs from the team at Mosaic Research
Stable Diffusion: Basic Intuition Behind Generative AI
This article provides a general overview of Stable Diffusion and focuses on building a basic understanding of how generative artificial intelligence works.
CLI tools hidden in the Python standard library
Seth Michael Larson pointed out that the Python gzip module can be used as a CLI tool like this:
Midjourney pricing plans and free alternatives to try
Navigating the maze of pricing plans for digital services can sometimes be a daunting task. Today, we are unveiling Midjourney
A Deep Dive Into LLaMA, Falcon, Llama 2 and Their Remarkable Fine-Tuned Ver
Exploring the Development of the 3 Leading Open LLMs and Their Chatbot Derivatives
Chain of Thought Prompting for LLMs
A practical and simple approach for “reasoning” with LLMs
Is Anthropic's Claude 2 model ready to take down GPT-4? We put them to the
Anthropic released Claude 2, a new iteration of its AI model, to take on ChatGPT and Google Bard...
Emerging Architectures for LLM Applications
A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.
Build a Transparent Question-Answering Bot for Your Documents with LangChai
Guide to developing an informative QA bot with displayed sources used
ELI5: FlashAttention
Step by step explanation of how one of the most important MLSys breakthroughs work — in gory detail.
📝 Guest Post: How to Customize Auto-GPT for Your Unique Use Case: A Comprehensive Guide*
An Introduction to Auto-GPT
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
Use LangChain’s Output Parser with ChatGPT for Structured Outputs
Explained with an example use case.
Understanding GPT tokenizers
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 …
Free Full Stack LLM Bootcamp
Want to learn more about LLMs and build cool LLM-powered applications? This free Full Stack LLM Bootcamp is all you need!
Edge 300: Meet Falcon LLM: The Most Powerful Open Source LLM Released to Da
The model quickly top the Open LLM Leaderboard that ranks the performance of open source LLMs.
How GPT works: A Metaphoric Explanation of Key, Value, Query in Attention,
GPT, explained simply, in a metaphor of potion.
The Secret Sauce behind 100K context window in LLMs: all tricks in one plac
tldr; techniques to speed up training and inference of LLMs to use large context window up to 100K input tokens during training and…
All You Need to Know to Build Your First LLM App
A step-by-step tutorial to document loaders, embeddings, vector stores and prompt templates
Observe.ai unveils 30-billion-parameter contact center LLM and a generative
The Observe.AI contact center LLM showed a 35% increase in accuracy compared to GPT-3.5 when automatically summarizing conversations.
Training LLMs with AMD MI250 GPUs and MosaicML
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!
KDnuggets News, June 28: 10 ChatGPT Plugins for Data Science Cheat Sheet •
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…
Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorc
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.
Deploying Falcon-7B Into Production
Running Falcon-7B in the cloud as a microservice
How to Train Generative AI Using Your Company’s Data
Leveraging a company’s proprietary knowledge is critical to its ability to compete and innovate, especially in today’s volatile environment. Organizational innovation is fueled through effective and agile creation, management, application, recombination, and deployment of…
I Used ChatGPT (Every Day) for 5 Months. Here Are Some Hidden Gems That Wil
Transform your life with these ChatGPT’s hidden gems.
Anthropic releases Claude 2, its second-gen AI chatbot
Anthropic, the AI startup founded by ex-OpenAI execs, has released its newest chatbot, Claude 2. It's ostensibly improved in several ways.
Google Launches AI-Powered Notes App Called NotebookLM
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…
Meet LMQL: An Open Source Query Language for LLMs
Developed by ETH Zürich, the language explores new paradigms for LLM programming.
Ecosystem Graphs for Foundation Models
Leandro von Werra’s Post
It crazy how far the ML field has come when it comes to fine-tuning LLMs. A year ago: it was challenging to fine-tune GPT-2 (1.5B) on a single GPU without… | 76 comments on LinkedIn