Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Description
PyNest is designed to help structure your APIs in an intuitive, easy to understand, and enjoyable way.
With PyNest, you can build scalable and maintainable APIs with ease. The framework supports dependency injection, type annotations, decorators, and code generation, making it easy to write clean and testable code.
This framework is not a... See more
PyNest is designed to help structure your APIs in an intuitive, easy to understand, and enjoyable way.
With PyNest, you can build scalable and maintainable APIs with ease. The framework supports dependency injection, type annotations, decorators, and code generation, making it easy to write clean and testable code.
This framework is not a... See more
PythonNest • GitHub - PythonNest/PyNest: PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS
Since we launched ChatGPT Enterprise a few months ago, early customers have expressed the desire for even more customization that aligns with their business. GPTs answer this call by allowing you to create versions of ChatGPT for specific use cases, departments, or proprietary datasets. Early customers like Amgen, Bain, and Square are already... See more
Introducing GPTs
This could be a business opportunity: building GPTs for companies.
Just thinking about food, sex or dopamine increases the amount as much as the action itself. Once you reach that thing the amount of dopamine goes up even further.
Andrew Huberman • How to Increase Motivation & Drive | Huberman Lab Podcast #12
The releasing neurons signal to other neurons to trigger the release of stimulating hormones, which triggers the release of the hormone. The releasing hormone is coming from the brain.
Andrew Huberman • How to Control Your Metabolism by Thyroid & Growth Hormone
Fine-Tuning for LLM Research by AI Hero
This repo contains the code that will be run inside the container. Alternatively, this code can also be run natively. The container is built and pushed to the repo using Github actions (see below). You can launch the fine tuning job using the examples in the https://github.com/ai-hero/llm-research-examples... See more
This repo contains the code that will be run inside the container. Alternatively, this code can also be run natively. The container is built and pushed to the repo using Github actions (see below). You can launch the fine tuning job using the examples in the https://github.com/ai-hero/llm-research-examples... See more
GitHub - ai-hero/llm-research-fine-tuning
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
koboldcpp
🤗 Transformers
Huggingface is an open source platform and community for deep learning models for language, vision, audio and multimodal. They develop and maintain the transformers library, which simplifies the process of downloading and training state of the art deep learning models.
This is the best library if you have a background in... See more
🤗 Transformers
Huggingface is an open source platform and community for deep learning models for language, vision, audio and multimodal. They develop and maintain the transformers library, which simplifies the process of downloading and training state of the art deep learning models.
This is the best library if you have a background in... See more
Moyi • 10 Ways To Run LLMs Locally And Which One Works Best For You
Overview
Loki is our open-source solution designed to automate the process of verifying factuality. It provides a comprehensive pipeline for dissecting long texts into individual claims, assessing their worthiness for verification, generating queries for evidence search, crawling for evidence, and ultimately verifying the claims. This tool is... See more
Loki is our open-source solution designed to automate the process of verifying factuality. It provides a comprehensive pipeline for dissecting long texts into individual claims, assessing their worthiness for verification, generating queries for evidence search, crawling for evidence, and ultimately verifying the claims. This tool is... See more