Nicolay Gerold

@nicolaygerold

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In some applications, such as inline code suggestions, the best AI models are too expensive, so tools like Github Copilot use carefully tuned smaller models and various search heuristics to provide results. In other applications, even the largest models, like GPT-4, are too cheap!

Matei Zaharia, Omar Khattab, Lingjiao Chen, et al. • The Shift From Models to Compound AI Systems

LLMs

This README is under construction as we work to build a new community driven high performance key-value store.

This project was forked from the open source Redis project right before the transition to their new source available licenses.

This README is just a fast quick start document. We are currently working on a more permanent documentation page.

W... See more

GitHub - valkey-io/valkey: A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, like a Valkyrie.

Data Storage

effective strategy:

Diagnosis - a theory describing the nature of the challenge. This is trying to identify the root cause(s) at play, for example “high work-in-progress is preventing us from finishing any tasks, so we are increasingly behind each sprint” might be a good diagnosis

Guiding policy - a series of general policies which will be applied

Solving the Engineering Strategy crisis.

We have lots and lots of customers who want to have specialized models that are cheaper, smaller, and have really high accuracy and performance. They’re saying, “Hey, this is what I want to do. I want to classify this particular defect in the manufacturing process from these pictures really well.” And there, the accuracy matters. Every ounce of... See more

Sarah Wang • What Builders Talk About When They Talk About AI | Andreessen Horowitz

I think ChatGPT will bring a bunch of companies really into AI. They will start out trying to solve things with GPT and then try to figure out how to solve this better with bespoke, smaller model. It could trigger a new AI summer for deep learning.

💰 PayPal is planning an ad network built off your purchase history LINK

PayPal plans to create an ad network using data from billions of customer transactions to target ads more effectively.

The new ad initiative, led by Mark Grether, aims to help businesses sell more by using PayPal's detailed knowledge of users' purchasing histories.

AI technology... See more

Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]

We are excited to release the first version of our multimodal assistant Yasa-1, a language assistant with visual and auditory sensors that can take actions via code execution.

We trained Yasa-1 from scratch, including pretraining base models from ground zero, aligning them, as well as heavily optimizing both our training and serving infrastructure.... See more

Announcing our Multimodal AI Assistant - Reka AI

Models

Data, or data usage rights, might indeed become scarcer (or at least costlier) in the future as more and more platforms are closing up their free API access. Examples of that we have seen earlier this year include Reddit and Twitter/X. The latter has also just updated its usage terms to prevent crawling and scraping last month.

This summer, major... See more

Sebastian Raschka • Ahead of AI #12: LLM Businesses and Busyness

Optimize Your Learning & Creativity with Science-based Tools

hubermanlab.com

Creativity and Neuroscience

The purpose of metadata is not simply to describe data and information assets, but rather to proactively answer questions that consumers might have about them. Where did this data come from? How up to date is it? How trustworthy is it? What business process(es) created it? What business process(es) use it? What transformations or filtering have... See more