Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Red blood cells turn over roughly every 120 days. They offer many interesting more long term biomarkers for health (e.g. Omega-3 index).
Andrew Huberman • Dr. Rhonda Patrick: Micronutrients for Health & Longevity
Laws of strength and conditioning:1. Progressive Overload: At whatever you want to improve at, you need to progressively overload. Adaptation is a byproduct of stress (more reps, load, higher complexity, shorter time frame,…)2. Exercises themselves do not determine adaptation. The application (sets, reps, load, time) determine it. This precedes the... See more
Andrew Huberman • Dr. Andy Galpin: How to Build Strength, Muscle Size & Endurance
When a test fails, you should be able to begin investigation with nothing more than the test’s name and its failure messages —no need to add more information and rerun the test.
Effective use of unit test frameworks and assertion libraries (JUnit, Truth, pytest, GoogleTest, etc.) serves two important purposes. Firstly, the more precisely we express... See more
Effective use of unit test frameworks and assertion libraries (JUnit, Truth, pytest, GoogleTest, etc.) serves two important purposes. Firstly, the more precisely we express... See more
Test Failures Should Be Actionable
HeimdaLLM
Pronounced [ˈhaɪm.dɔl.əm] or HEIM-dall-EM
HeimdaLLM is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.
In simple terms, it helps makes sure that AI won't wreck your systems.
Pronounced [ˈhaɪm.dɔl.əm] or HEIM-dall-EM
HeimdaLLM is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.
In simple terms, it helps makes sure that AI won't wreck your systems.
amoffat • GitHub - amoffat/HeimdaLLM: Verify LLM output
“We've built a flexible, fast document editor that lets a user quickly surface powerful AI commands by hitting cmd + k as they write.
Type’s AI commands help with the slowest parts of writing, from generating drafts to rewriting content to suggesting what to create next.
The more you write, the better Type’s suggestions get. Type’s AI understands the context of a document – it can generate or transform text quickly and accurately.
We combine the flexibility of a product like ChatGPT with a powerful document editor. The result: Type is fun to write in!”
3. Focusing on Benefits, Not Features
Source:https://pair.withgoogle.com/guidebook/patterns
Users care about how your product can make their lives better, not the technical wizardry behind it. When introducing your AI-powered service, highlight the advantages it brings to their everyday experiences.
Aim For:
Showcase how the tool adapts to their... See more
Source:https://pair.withgoogle.com/guidebook/patterns
Users care about how your product can make their lives better, not the technical wizardry behind it. When introducing your AI-powered service, highlight the advantages it brings to their everyday experiences.
Aim For:
Showcase how the tool adapts to their... See more
⚡️ Nurkhon Akhmedov ⚡️ • Google’s AI design principles in 2024: user-centric AI experiences
Open-Source Pre-Processing Tools for Unstructured Data
The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular... See more
The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular... See more
Unstructured-IO • GitHub - Unstructured-IO/unstructured: Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Several engineers also maintained fallback models for reverting to: either older or simpler versions (Lg2, Lg3, Md6, Lg5, Lg6). Lg5 mentioned that it was important to always keep some model up and running, even if they “switched to a less economic model and had to just cut the losses.” Similarly, when doing data science work, both Passi and Jackson... See more
Shreya Shankar • "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
Testosterone binds to the amygdala and lowers the stress and anxiety threshold leading to more novelty seeking.