Every story across every category, newest first. Each card links to the original publisher; daily-brief posts open as editorial pages.
Hi there, LlamaIndex Enthusiasts 🦙,Today marks a milestone for the LlamaIndex ecosystem with the introduction of LlamaCloud, a next-generation suite of managed parsing, ingestion, and retrieval…
Today is a big day for the LlamaIndex ecosystem: we are announcing LlamaCloud, a new generation of managed parsing, ingestion, and retrieval services, designed to bring…
The widespread consumption of videos on platforms like YouTube, Instagram, and others highlights the importance of efficiently processing and analyzing video content. This capability unlocks vast…
ADU Planner in actionIn the midst of a pressing housing shortage, the American dream of homeownership is being reimagined through the innovative concept of Accessory Dwelling…
They are keeping the newsletter afloat through telekinesisGreetings, LlamaIndex Adventurers 🦙,Welcome to an exhilarating week of discoveries at LlamaIndex! Our community’s lively input and the abundance…
Today we’re excited to launch LlamaIndex v0.10.0. It is by far the biggest update to our Python package to date (see this gargantuan PR), and it…
[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data…
ML models are probabilistic. Imagine that you want to know what’s the best cuisine in the world. If you ask someone this question twice, a minute…
On the the pivotal role that Deep Learning has played as a key enabler for advancing single-cell sequencing technologies.
Achieving even more surgical edits than LEACE when we have concept labels at inference time.
On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.
Explaining a result by Sam Marks and Max Tegmark
Introduction At the third New England RLHF Hackathon, several interesting projects were showcased, each focusing on different aspects of machine learning and reinforcement learning. Participants and…
The use of large language models in the real world has strongly accelerated by the launch of ChatGPT. We (including my team at OpenAI, shoutout to…
In this article, we will talk about classical computation: the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures…
For a long time, each ML model operated in one data mode – text (translation, language modeling), image (object detection, image classification), or audio (speech recognition).…
This essay first appeared in Reboot. Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have foreseen that the smallcaps…
RT Yann LeCunRe @elonmusk Nobel Prize for Katalin Karikó 👌👏Ignoble Prize for you 😂😂
[LinkedIn discussion, Twitter thread] Never before in my life had I seen so many smart people working on the same goal: making LLMs better. After talking…
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as…
I had a lot of fun preparing the talk: “Leadership needs us to do generative AI. What do we do?” for Fully Connected. The idea for…
Here are eight observations I’ve shared recently on the Cohere blog and videos that go over them.: Article: What’s the big deal with Generative AI? Is…
Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the…
Many new Transformer architecture improvements have been proposed since my last post on “The Transformer Family” about three years ago. Here I did a big refactoring…