llms
Innovative three-year-olds expose the limits of AI chatbots
New experiments show that very young children are better at solving creative puzzles than ChatGPT and other AI models
Text vs. Images: Which Content Format is Effective?
When we talk about using different ways to share information, it's like picking the one that fits what you need! Words, pictures, and mixes of both have
Title:BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language...
Exploring the Zephyr 7B: A Comprehensive Guide to the Latest Large Language
Zephyr is a series of Large Language Models released by Hugging Face trained using distilled supervised fine-tuning (dSFT) on larger models with significantly improved task accuracy.
ChatGPT Prompts for Customer Personas
Identify and target personas of keywords, competitors, Reddit discussions, and more.
Build Your Own ChatGPT
Best AI Chatbots for Customer Support
Mastering PDFs: Extracting Sections, Headings, Paragraphs, and Tables with
LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs).
Understanding and Coding Self-Attention, Multi-Head Attention, Cross-Attent
This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama.
Dashboard - SciSummary
AI Driven tools for researchers and students. Use AI to summarize and understand scientific articles and research papers.
GPT in 60 Lines of NumPy
Implementing a GPT model from scratch in NumPy.
Meet Waymo’s MotionLM: The State-of-the-Art Multi-Agent Motion Prediction A
Autoregressive language models have excelled at predicting the subsequent subword in a sentence without the need for any predefined grammar or parsing concepts. This method has been expanded to include continuous data domains like audio and image production, where data is…
How much detail is too much? Midjourney v6 attempts to find out
As Midjourney rolls out new features, it continues to make some artists furious.
10 Noteworthy AI Research Papers of 2023
This year has felt distinctly different. I've been working in, on, and with machine learning and AI for over a decade, yet I can't recall a time when these fields were as popular and rapidly evolving as they have been this year. To conclude an eventful 2023 in machine learning…
7 Steps to Mastering Large Language Models (LLMs)
Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.
Meta AI Researchers Propose Advanced Long-Context LLMs: A Deep Dive into Up
The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. These models, trained on vast amounts of data and leveraging immense computational resources, promise to transform human interactions with the digital world. As…
This AI Paper from NVIDIA Explores the Power of Retrieval-Augmentation vs.
In a comparative study, Researchers from Nvidia investigated the impact of retrieval augmentation and context window size on the performance of large language models (LLMs) in downstream tasks. The findings reveal that retrieval augmentation consistently enhances LLM…
Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments - Lightning AI
LoRA is one of the most widely used, parameter-efficient finetuning techniques for training custom LLMs. From saving memory with QLoRA to selecting the optimal LoRA settings, this article provides practical insights for those interested in applying it.
Getting Started with Large Language Models: Key Things to Know
As a machine learning engineer who has witnessed the rise of Large Language Models (LLMs), I find it daunting to comprehend how the ecosystem surrounding LLMs is developing.
Unlocking GPT-4 Summarization with Chain of Density Prompting
Unlock the power of GPT-4 summarization with Chain of Density (CoD), a technique that attempts to balance information density for high-quality summaries.
The Ins and Outs of Retrieval-Augmented Generation (RAG)
Our weekly selection of must-read Editors’ Picks and original features
Building RAG-based LLM Applications for Production (Part 1)
In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale and evaluation.
RAG vs Finetuning: Which Is the Best Tool to Boost Your LLM Application?
The definitive guide for choosing the right method for your use case
A High-Level Overview Of Large Language Model Concepts, Use Cases, And Tool
Discuss the concept of large language models (LLMs) and how they are implemented with a set of data to develop an application. Joas compares a collection of no-code and low-code apps designed to help you get a feel for not only how the concept works but also to get a sense of…
Augmenting LLMs with RAG
An End to End Example Of Seeing How Well An LLM Model Can Answer Amazon SageMaker Related Questions
Parallel Processing in Prompt Engineering: The Skeleton-of-Thought Techniqu
Explore how the Skeleton-of-Thought prompt engineering technique enhances generative AI by reducing latency, offering structured output, and optimizing projects.
[2302.07730] Transformer models: an introduction and catalog
In the past few years we have seen the meteoric appearance of dozens of foundation models of the Transformer family, all of which have memorable and sometimes funny, but not self-explanatory,...
ChatGPT Vision is insanely good, here is what it can and can’t do
OpenAI's ChatGPT Vision is making waves in the world of artificial intelligence, but what exactly is it, and how can
Hey, Computer, Make Me a Font
This is a story of my journey learning to build generative ML models from scratch and teaching a computer to create fonts in the process.
SaaS Competitive Advantage Through Elegant LLM Feedback Mechanisms
Eliciting product feedback elegantly is a competitive advantage for LLM-software. Over the weekend, I queried Google’s Bard, & noticed the elegant feedback loop the product team has incorporated into their product. I asked Bard to compare the 3rd-row leg room of the leading…
A Prompt Pattern Catalog
ChatGPT, Bard, or Bing Chat? Differences Among 3 Generative-AI Bots
Participants rated Bing Chat as less helpful and trustworthy than ChatGPT or Bard. These results can be attributed to Bing’s richer yet imperfect UI and to its poorer information aggregation.
Bard
Bard is now Gemini. Get help with writing, planning, learning, and more from Google AI.
The State of Large Language Models
We present the latest updates on ChatGPT, Bard and other competitors in the artificial intelligence arms race.
Paris-based Mistral releases first generative AI model — and it’s totally f
Europe’s startup contribution to the generative AI bonanza, Mistral, has released its first model. Mistral 7B is free to download and be used anywhere — including locally. French AI developer Mistral says its Large Language Model is optima
10 Ways to Improve the Performance of Retrieval Augmented Generation System
Tools to go from prototype to production
10 ChatGPT Projects Cheat Sheet
KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.
How to Build an LLM from Scratch
Data Curation, Transformers, Training at Scale, and Model Evaluation
Large Language Model Prompt Engineering for Complex Summarization - ISE Dev
Learn how to use GPT / LLMs to create complex summaries such as for medical text
Promptpack: Using Code Interpreter to crack your marketing funnel
Our first Promptpack for businesses
Open LLM Leaderboard : a Hugging Face Space by HuggingFaceH4
Track, rank and evaluate open LLMs and chatbots
Llama from scratch
I want to provide some tips from my experience implementing a paper. I'm going to cover my tips so far from implementing a dramatically scaled-down versio...
Cracking Open the OpenAI (Python) API
A complete beginner-friendly introduction with example code
ChatGPT Noteable (Jupyter) = Mind-blowing! - YouTube
Do you use Python, Pandas, and Seaborn to collect, analyze, and plot data? Then you'll be amazed by what ChatGPT can do, when using ChatGPT+, GPT-4 model, and the plugin for Noteable's version of Jupyter notebooks. [UPDATE/NOTE: This was my first summary of Noteable and ChatGPT…
Cracking Open the Hugging Face Transformers Library
A quick-start guide to using open-source LLMs
ChatGPT: How to automate Google Sheets in under 2 minutes (with R)
Hey guys, welcome back to my R-tips newsletter. In today’s R-tip, I’m sharing a super common data science task (one that saved me 20 hours per week)… You’re getting the cheat code to automating Google Sheets. Plus, I’m sharing exactly how I made this a...
Your Own Personal ChatGPT
How you can fine-tune OpenAI’s GPT-3.5 Turbo model to perform new tasks using your custom data
Asking 60+ LLMs a set of 20 questions
Human-readable benchmarks of 60+ open-source and proprietary LLMs.
OpenAI Unveils DALL·E 3: A Revolutionary Leap in Text-to-Image Generation
In a significant technological leap, OpenAI has announced the launch of DALL·E 3, the latest iteration in their groundbreaking text-to-image generation technology. With an unprecedented capacity to understand nuanced and detailed descriptions, DALL·E 3 promises to revolutionize…
Comparison: DALL-E 3 vs Midjourney
DALL-E 3, the latest version of OpenAI's ground-breaking generative AI visual art platform, was just announced with groundbreaking features, including