Nicolay Gerold
@nicolaygerold
Nicolay Gerold
A thread pool is a collection of pre-initialized threads that can be used to execute tasks. Instead of starting a new thread for each task (which can be resource-intensive), a thread from this pool is reused to perform the task. This approach is beneficial for handling multiple operations in parallel, especially when these operations are blocking... See more
Saverio Mazza • FastAPI: Thread Pool and Event Loop
Enter Large Language Models (LLMs). The first tranche of products and startups leveraging LLMs has kept within the mental model of selling software to achieve step-function improvements in end-user productivity. The "Copilot for [x]" trend reflects this mental model. While there are fantastic startups innovating to improve employee productivity,... See more
Sarah Tavel • AI startups: Sell work, not software
- The generative AI revolution is swiftly giving rise to a myriad of startups, with an increasing need to categorize them by their function in the AI landscape, including foundational model providers, infrastructure enablers, and application developers.
- Generative AI is transforming industries across the globe, not just in Silicon Valley, with... See more
- Generative AI is transforming industries across the globe, not just in Silicon Valley, with... See more
Shortwave — The smartest email app on planet Earth
When the levels of a hormone are too high, the brain will stop to produce stimulating hormones to stop the Production. It can be supplemented through Kelp and seaweed.
Andrew Huberman • How to Control Your Metabolism by Thyroid & Growth Hormone
Model Description
NSQL is a family of autoregressive open-source large foundation models (FMs) designed specifically for SQL generation tasks.
In this repository we are introducing a new member of NSQL, NSQL-Llama-2-7B. It's based on Meta's original Llama-2 7B model and further pre-trained on a dataset of general SQL queries and then fine-tuned on a... See more
NSQL is a family of autoregressive open-source large foundation models (FMs) designed specifically for SQL generation tasks.
In this repository we are introducing a new member of NSQL, NSQL-Llama-2-7B. It's based on Meta's original Llama-2 7B model and further pre-trained on a dataset of general SQL queries and then fine-tuned on a... See more
NumbersStation/nsql-llama-2-7B · Hugging Face
Before you start working, figure out:
After you’ve finished your work, check:
4. Did I miss anything?
- What does the business want?
- Which criteria should I fulfill to call my work “good”?
- What do I need to do to complete this particular task?
After you’ve finished your work, check:
4. Did I miss anything?
It’s time to upgrade from “hard-working” to “highly efficient”
It turns out AutoGPT recently went through “vector memory revamp” (pull request) that removed all vector db implementations and left out only a couple of classes responsible for memory management, with a JSON file becoming the default way to store memories/embeddings.
Why AutoGPT engineers ditched vector databases | Dariusz Semba
It is the substrate from which epinephrine is made.
Andrew Huberman • How to Increase Motivation & Drive | Huberman Lab Podcast #12
EntityAnonymization-3B-V0.9
EntityAnonymization identifies entities in texts and replaces them with randomised versions.
In a first pass, the entities are recognised and a dictionary with similar but randomised variants is created.
In a second run, the original text and the dictionary are provided and the paraphrased variant is generated.
The two-step... See more
EntityAnonymization identifies entities in texts and replaces them with randomised versions.
In a first pass, the entities are recognised and a dictionary with similar but randomised variants is created.
In a second run, the original text and the dictionary are provided and the paraphrased variant is generated.
The two-step... See more