Nicolay Gerold
@nicolaygerold
Nicolay Gerold
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
This summer, major... See more
Sebastian Raschka • Ahead of AI #12: LLM Businesses and Busyness
If there isn’t enough light (type and quality - sunlight) in the morning with a low solar angle, the wakefulness system doesn’t get triggered properly. Artificial light doesn’t activate it properly, get sunlight in the light as soon to waking as possible. Get outside with no sunglasses, through glass decreases the efficiency by 50%, once the sun is... See more
Andrew Huberman • Master Your Sleep & Be More Alert When Awake
Hi everyone! How do you guys go about choosing the granularity of your ML response ?. For instance, let us say you have been tasked with predicting the purchase probability for an item and this is how your merch hierarchy looks -
1) department
2) category
3) sub category
4) item
The trade off here is between granularity and response sparsity ie if you... See more
1) department
2) category
3) sub category
4) item
The trade off here is between granularity and response sparsity ie if you... See more
Discord - A New Way to Chat with Friends & Communities
Part of building a generative AI and real-time intelligence in our product is being able to react in real time . A lot of companies will say they have real time, I would call it next-day action versus next best action. Next-day action is you're taking action based on intelligence, that's been processed the night before because you're having to... See more
Alexandre Dewez • 📖 Venture Chronicles - September 2023
When you eat something sweet, neurons in the stomach sense the sweetness and cause the release of dopamine in the brain making you crave sugar.
Andrew Huberman • How Foods and Nutrients Control Our Moods
LNO: Framework to prioritize time. There are leverage, neutral, and overhead tasks, where you get 10x, 1x or < 1x output. You should focus your best and the most hours on leverage tasks. Delegate or strike N and O tasks. The same activity can be all three depending on the context and how you execute it. Track L, N, O tasks.
lennysnewsletter.com • Shreyas Doshi on Pre-Mortems, the LNO Framework, the Three Levels of Product Work, Why Most Execution Problems Are Strategy Problems, and ROI vs. Opportunity Cost Thinking
Who is this document for?
This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models . We assume basic knowledge of machine learning and deep learning concepts.
Our emphasis is on the process of hyperparameter tuning . We touch on other aspects of deep learning... See more
This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models . We assume basic knowledge of machine learning and deep learning concepts.
Our emphasis is on the process of hyperparameter tuning . We touch on other aspects of deep learning... See more
GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models.
Bard highlights confirmed data in green & potentially erroneous data in red. I confirmed the green is correct. The red sometimes was correct and other times wasn’t.
In addition to saving me time, I can use a less-than-trusted system, benefit from the accurate portion of the response - which should keep me coming back - all while improving the system for the next time.
Hono - [炎] means flame🔥 in Japanese - is a small, simple, and ultrafast web framework for the Edges. It works on any JavaScript runtime: Cloudflare Workers, Fastly Compute@Edge, Deno, Bun, Vercel, Lagon, AWS Lambda, Lambda@Edge, and Node.js.
Fast, but not only fast.
import { Hono } from 'hono'
const app = new Hono()
app.get('/', (c) =>... See more
Fast, but not only fast.
import { Hono } from 'hono'
const app = new Hono()
app.get('/', (c) =>... See more