Ethan B. Holland

Over 62,700 manually organized AI links and counting

iphone photo, a modern, spacious tech development workspace illuminated by warm, natural light filtering through large windows. The room is filled with sleek, minimalistic furniture. Several high-resolution computer monitors are strategically placed on clean, uncluttered desks. Each screen vividly displays different aspects of AI development: one shows a complex neural network visualization, another exhibits lines of advanced code, and a third one showcases performance graphs of AI models. The scene is designed to exude a sense of innovation and cutting-edge research, where technology meets creativity. The overall atmosphere is inviting and inspires curiosity, symbolizing the forward momentum of AI technology. --ar 16:9

AI Tech and Development News: Week Ending 03/22/2024

March 22, 2024

“Today, we’re excited to announce RAG 2.0, our end-to-end system for developing production-grade AI. Using RAG 2.0, we’ve created Contextual Language Models (CLMs), which achieve state-of-the-art performance on a variety of industry benchmarks. CLMs outperform strong RAG… https://twitter.com/ContextualAI/status/1770073215567569392

“Introducing Inversion, our family of structured LLMs. Our first generation models excel in structured tasks, offering unmatched speed, latency, reliability, and efficiency, with the most comprehensive typed JSON output support available anywhere. https://twitter.com/jrysana/status/1769786911030186111

“Today we’re excited to introduce Multi-Model Sessions! — Load prompt multiple local LLMs simultaneously — Use the API to build networks, pipelines of LLMs that can talk with each other — Use the new JSON Mode to constrain each model’s output format LM Studio 0.2.17 is… https://twitter.com/LMStudioAI/status/1770135856780595493

Lilac Joins Databricks to Simplify Unstructured Data Evaluation for Generative AI | Databricks Blog – https://www.databricks.com/blog/lilac-joins-databricks-simplify-unstructured-data-evaluation-generative-ai

[2403.11207] MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data – https://arxiv.org/abs/2403.11207

Cappy: Outperforming and boosting large multi-task language models with a small scorer – Google Research Blog – https://blog.research.google/2024/03/cappy-outperforming-and-boosting-large.html

Glowbom – https://glowbom.com/

[2403.14380] On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial – https://arxiv.org/abs/2403.14380

First Impressions of Early-Access GPT-4 Fine-Tuning | Supersimple – https://www.supersimple.io/blog/gpt-4-fine-tuning-early-access

“Open-sourcing “MindGraph”, a proof of concept starter kit for building and querying against an ever-expanding knowledge graph with natural language! – multiple input types – simple interface – basic search/RAG against knowledge graph – easily extendable with integrations – basic… https://twitter.com/yoheinakajima/status/1769019899245158648

Introducing RAG 2.0 – Contextual AI – https://contextual.ai/introducing-rag2/

PoDD – https://vision.huji.ac.il/podd/

Production-grade LLM API endpoints for scaling your app | OctoAI – https://octo.ai/product/text-generation/

[2403.12015] Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation – https://arxiv.org/abs/2403.12015

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models – https://huggingface.co/blog/cosmopedia

Thoughts on the Future of Software Development – https://www.sheshbabu.com/posts/thoughts-on-the-future-of-software-development/

Spreadsheets are all you need.ai – A low-code way to learn AI – https://spreadsheets-are-all-you-need.ai/

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Be Sure To Read This Week’s Main Post:

This week’s executive overview and top links are here:

AI News #25: Week Ending 03/22/2024 with Executive Summary and Top 55 Links

The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.