Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Clean & curate your data with LLMs
databonsai is a Python library that uses LLMs to perform data cleaning tasks.
Features
databonsai is a Python library that uses LLMs to perform data cleaning tasks.
Features
- Suite of tools for data processing using LLMs including categorization, transformation, and extraction
- Validation of LLM outputs
- Batch processing for token savings
- Retry logic with exponential backoff for handling rate limits and
databonsai • GitHub - databonsai/databonsai: clean & curate your data with LLMs.
LLMs and Data Processing
Indexify is a reactive structured extraction engine for un-structured data.
Applications leveraging LLMs for autonomous planning or queries necessitate timely index updates aligned with data changes or new extraction methods. Indexify enables both, by applying feature extractors on data in real-time and updating one or many indexes.
Why use Indexify... See more
Applications leveraging LLMs for autonomous planning or queries necessitate timely index updates aligned with data changes or new extraction methods. Indexify enables both, by applying feature extractors on data in real-time and updating one or many indexes.
Why use Indexify... See more
tensorlakeai • GitHub - tensorlakeai/indexify: A scalable realtime and continuous indexing engine for Unstructured Data to build Generative AI Applications
Classwords are suffixes added to database column names to indicate the type of data they contain. This improves readability and makes it easier to understand the database schema. Base classwords include text, calendar, numeric and domain-specific types. It is best to avoid redundancy in column names, as this can lead to unnecessary verbosity. Using... See more
Gemini - chat to supercharge your ideas
Text Classwords
identifier (or id)
code[_<standard>]
name
description (or desc)
indicator (or ind)
number
text
Calendar Classwords
date
datetime[<timezone>] (or dt[<timezone>])
timestamp[<timezone>] (or ts[<timezone>])
Numeric Classwords
count
amount[_<currency>]
<quantity_property>[_<unit_of_measure>]
ratio
factor
percent (or pct)
Domain-Specific Classwords
uri
address
email
sku
json
geojson
The increase of epinephrine after the learning triggers the neuroplasticity. It primes the hippocampus to encode the prior learned content. The optimal strategy would be a 90 minute bout of learning, trigger epinephrine, bout of NSDR.
Andrew Huberman • Using Cortisol & Adrenaline to Boost Our Energy & Immune System
We had a CLI tool, written mostly as a bunch of shell scripts, with a ton of available commands that performed all kinds of utility functions related to observability and operations.
It was mostly written by an excellent coworker, and working with it is where I learned to write effective shell scripts. (Thanks to Nathan and shellcheck for this vital... See more
It was mostly written by an excellent coworker, and working with it is where I learned to write effective shell scripts. (Thanks to Nathan and shellcheck for this vital... See more
Bill Mill • notes.billmill.org
Fuyu-8B Model Card
Note: Running Fuyu requires https://github.com/huggingface/transformers/pull/26911, which may require running transformers on main!
Model
Fuyu-8B is a multi-modal text and image transformer trained by Adept AI.
Architecturally, Fuyu is a vanilla decoder-only transformer - there is no image encoder.
Image patches are instead linearly... See more
Note: Running Fuyu requires https://github.com/huggingface/transformers/pull/26911, which may require running transformers on main!
Model
Fuyu-8B is a multi-modal text and image transformer trained by Adept AI.
Architecturally, Fuyu is a vanilla decoder-only transformer - there is no image encoder.
Image patches are instead linearly... See more
adept/fuyu-8b · Hugging Face
Airbyte enables you to build data pipelines and replicate data from a source to a destination. You can configure how frequently the data is synced, what data is replicated, and how the data is written to in the destination.
This page describes the concepts you need to know to use Airbyte.
Source
A source is an API, file, database, or data warehouse... See more
This page describes the concepts you need to know to use Airbyte.
Source
A source is an API, file, database, or data warehouse... See more
Core Concepts | Airbyte Documentation
Papermark
The open-source DocSend alternative.
papermark.io
Papermark is the open-source document sharing alternative to DocSend with built-in analytics and custom domains.
Features
The open-source DocSend alternative.
papermark.io
Papermark is the open-source document sharing alternative to DocSend with built-in analytics and custom domains.
Features
- Shareable Links: Share your document securely by sending a custom link
- Custom Branding: Add a custom domain and your own branding
- Analytics: Get insights via document
mfts • GitHub - mfts/papermark: Papermark is the open-source DocSend alternative with built-in analytics and custom domains.
Data bases have gotten so good at this, that the term is almost misleading now. “Base” suggests something rigid, without which the data would slip away. But the data is always there, just bits on a nameless hard disk. The structure and the accessibility that a modern database provides exist completely independently from that hard disk. That’s right... See more