Sora

Sora is an AI model that can create realistic and imaginative scenes from text instructions.

Sora is an AI model that can create realistic and imaginative scenes from text instructions.
LoRA (Low-Rank Adaptation) is a popular technique to finetune LLMs more efficiently. This Studio explains how LoRA works by coding it from scratch, which is an excellent exercise for looking under …

AI community is once again filled with excitement as Bard is now Gemini and Gemini Advanced offering users an exceptional
New experiments show that very young children are better at solving creative puzzles than ChatGPT and other AI models

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

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...

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.

Identify and target personas of keywords, competitors, Reddit discussions, and more.

Best AI Chatbots for Customer Support

LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs).

This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama.

AI Driven tools for researchers and students. Use AI to summarize and understand scientific articles and research papers.

Implementing a GPT model from scratch in NumPy.

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…

As Midjourney rolls out new features, it continues to make some artists furious.

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…

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.

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…

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…

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.
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.

Unlock the power of GPT-4 summarization with Chain of Density (CoD), a technique that attempts to balance information density for high-quality summaries.
Our weekly selection of must-read Editors’ Picks and original features

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.

The definitive guide for choosing the right method for your use case

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…
An End to End Example Of Seeing How Well An LLM Model Can Answer Amazon SageMaker Related Questions

Explore how the Skeleton-of-Thought prompt engineering technique enhances generative AI by reducing latency, offering structured output, and optimizing projects.

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,...

OpenAI's ChatGPT Vision is making waves in the world of artificial intelligence, but what exactly is it, and how can

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.
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…

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 is now Gemini. Get help with writing, planning, learning, and more from Google AI.

We present the latest updates on ChatGPT, Bard and other competitors in the artificial intelligence arms race.

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

Tools to go from prototype to production

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.
Data Curation, Transformers, Training at Scale, and Model Evaluation

Learn how to use GPT / LLMs to create complex summaries such as for medical text

Our first Promptpack for businesses
Track, rank and evaluate open LLMs and chatbots
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...
A complete beginner-friendly introduction with example code

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…
A quick-start guide to using open-source LLMs

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...

How you can fine-tune OpenAI’s GPT-3.5 Turbo model to perform new tasks using your custom data