Nicolay Gerold
@nicolaygerold
Nicolay Gerold
React Components for the Google Maps JavaScript API
This is a TypeScript / JavaScript library to integrate the Maps JavaScript API into your React application. It comes with a collection of React components to create maps, markers and infowindows, and a set of hooks to use some of the Maps JavaScript API Services and Libraries.
Installation
This... See more
This is a TypeScript / JavaScript library to integrate the Maps JavaScript API into your React application. It comes with a collection of React components to create maps, markers and infowindows, and a set of hooks to use some of the Maps JavaScript API Services and Libraries.
Installation
This... See more
visgl • GitHub - visgl/react-google-maps: React component and hooks library for Google Maps
Memory Considerations
Since co-occurrence matrices are square, they grow exponential with the number of entities being embedded. For 50k entities and a 32-bit data format, a dense matrix will already be at 10GB. 100k entities puts it at 40GB.
If you are trying to embed even more entities than that or have limited RAM available, you may need to use a... See more
Since co-occurrence matrices are square, they grow exponential with the number of entities being embedded. For 50k entities and a 32-bit data format, a dense matrix will already be at 10GB. 100k entities puts it at 40GB.
If you are trying to embed even more entities than that or have limited RAM available, you may need to use a... See more
What I've Learned Building Interactive Embedding Visualizations
We are excited about (i) NLP use cases (ii) built by industry experts that (iii) serve large, tech-laggard industries with intensely manual workflows for rich text data that (iv) often sit across multiple systems of record.
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Introducing Prompts: LLM Monitoring
W&B Prompts – LLM Monitoring provides large language model usage monitoring and diagnostics. Start simply, then customize and evolve your monitoring analytics over time.
W&B Prompts – LLM Monitoring provides large language model usage monitoring and diagnostics. Start simply, then customize and evolve your monitoring analytics over time.
Monitoring
Monitoring Tools
The book Clean Code introduces three laws of TDD [1]:
So, the tests are written before the production code. This leads to the developer... See more
- Write a failing unit test first before you start writing production code.
- Write not more of a unit test than is sufficient to fail.
- Write not more production code than is sufficient to pass the currently failing test.
So, the tests are written before the production code. This leads to the developer... See more
How to Write Clean Code in Python
Participants noted that the impact on models was hard to assess when the ground truth involved live data—for example, Sm2 felt strongly about the negative impact of feedback delays on their ML pipelines: I have no idea how well [models] actually perform on live data. Feedback is always delayed by at least 2 weeks. Sometimes we might not have... See more
Shreya Shankar • "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
Components:- Neural tissue: motor neurons cause muscles to contract and shorten, spindle neurons rap around muscle fibers and sense the stretching in the muscle. If it’s stretching a signal is send to the motor neurons in the spinal cord, which ensures the muscle contracts to keep the range of motion in a safe range. At the end of each muscles you... See more
Andrew Huberman • Improve Flexibility with Research-Supported Stretching Protocols
All organs are monitored by the brain via the vagus nerve.
Andrew Huberman • Dr. Charles Zuker: The Biology of Taste Perception & Sugar Craving
eneral-purpose models
- 1.1B: TinyDolphin 2.8 1.1B. Takes about ~700MB RAM and tested on my Pi 4 with 2 gigs of RAM. Hallucinates a lot, but works for basic conversation.
- 2.7B: Dolphin 2.6 Phi-2. Takes over ~2GB RAM and tested on my 3GB 32-bit phone via llama.cpp on Termux.
- 7B: Nous Hermes Mistral 7B DPO. Takes about ~4-5GB RAM depending on