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We study the effectiveness of a simple approach to develop a small base language model (LM) starting from an existing large base LM: first inherit a few transformer blocks from the larger LM, and...

Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.

Learn about data chunking in RAG and explore fetch surrounding chunking, a pattern in RAG that uses chunking and Elasticsearch to refine LLM responses.

Vector databases are fascinating, and I'm surprised more people aren't talking about what makes them so fast.You can use a vector database to store arrays of...

Vercel AI SDK 3.3 introduces tracing, multi-modal attachments, JSON streaming to clients, and more.

Tutorial on building intuition about LLMs. Slides: https://link.excalidraw.com/p/readonly/aBWlNjEckdUlrszwwo6V or https://github.com/srush/LLM-Talk/blob/main...

Confused by all the jargon? Me, too. So, I did a little deep dive into LLM fine-tuning. Here’s what I understood: — Leonie (@helloiamleonie)

RAG Part1: An overview of how to Do Retrieval Augmented Generation

How to monitor AWS container environments at scale (Sponsored) In this eBook, Datadog and AWS share insights into the changing state of containers in the cloud and explore why orchestration technologies are an essential part of managing ever-changing containerized workloads.

An interactive visualization tool that explains in a visual way how the Transformer architecture works. Tool: https://poloclub.github.io/transformer-explaine...

1. A Visual Guide to Quantization. Very clear and intuitive by 2. Introduction to Quantization cooked in 🤗 with 💗🧑‍🍳 Nice introduction by with… — Omar Sanseviero (@osanseviero)

In this article, we’ll demonstrate how to extract structured data from a document using the Box AI API.

Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models that natively...

Advance your career in Artificial Intelligence with Simplilearn’s Artificial Intelligence Engineer Program:  https://bit.ly/GodaGoSimplilearnThis is Part 2 o...

LangGraph is an agent framework from LangChain that allows us to develop agents via graphs. By building agents using graphs we have much more control and fle...

At the 2024 UC Berkeley AI Hackathon's Awards Ceremony, the atmosphere was electric as Andrej Karpathy, founding member of OpenAI, delivered an inspiring keynote. Out of 371 projects, the top 8 teams took the stage to pitch their groundbreaking AI solutions. After intense deliberation by our esteemed judges, the big reveal came: up to $100K in prizes were awarded, celebrating innovation and creativity in AI for Good. Missed the live ceremony? Relive the excitement and watch the future of AI unfold! For more SkyDeck news, connect with us on ► LinkedIn: https://www.linkedin.com/company/skydeck-berkeley/ ► Instagram: https://www.instagram.com/berkeley_skydeck/ ► Twitter: https://twitter.com/SkyDeck_Cal Chapters: 0:00 Welcome 0:19 Caroline Winnett 4:05 Andrej Karpathy Keynote Speech 22:20 Pitch Overview 23:29 Judge Introductions 24:43 Revision 31:23 Agent.OS 38:54 Skyline 44:32 Spark 51:35 HearMeOut 57:05 Dispatch.Ai 1:02:04 ASL Bridgify 1:08:57 Greenwise 1:13:35 Special Prize 1 1:17:24 Special Prize 2 1:19:30 Special Prize 3 1:20:45 Special Prize 4 1:23:15 Special Prize 5 1:24:27 Special Prize 6 1:26:00 Special Prize 7 1:27:24 Special Prize 8 1:30:10 Grand Prize Winner #AIHackathon #UCBerkeleyAIHackathon #BerkeleyAIHackathon #Innovation #TechForGood #BerkeleySkyDeck #AI #LLM #AIforGood #HackingForGood #UCBerkeley #Startups #awardsceremony #Hackathon #TechInnovation #AndrejKarpathy

Co-authored with Rutvik Reddy

What the words behind generative AI tools actually mean.

Hear about likely the biggest launch in the JS ecosystem in years! Generative UI, a new version of an AI SDK that enables you to dynamically generate interac...

Large Language Models (LLMs) have issues with document question answering (QA) in situations where the document is unable to fit in the small context length of an LLM. To overcome this issue, most...

I gave an invited keynote at PyCon US 2024 in Pittsburgh this year. My goal was to say some interesting things about AI—specifically about Large Language Models—both to help catch …

Pinecone as a Knowledge Base for Amazon Bedrock is currently available in private preview.

Thanks to KiwiCo for sponsoring today's video! Go to https://www.kiwico.com/welchlabs and use code WELCHLABS for 50% off your first month of monthly lines an...

The second installment in our "In the Loop" series, focusing on cognitive architecture

Introducing a new series of musings on AI agents.