Items tagged datasette, projects in 2023
Filters: Year: 2023 × datasette × projects × Sorted by date
Weeknotes: datasette-enrichments, datasette-comments, sqlite-chronicle
I’ve mainly been working on Datasette Enrichments and continuing to explore the possibilities enabled by sqlite-chronicle.
[... 1123 words]Datasette Enrichments: a new plugin framework for augmenting your data
Today I’m releasing datasette-enrichments, a new feature for Datasette which provides a framework for applying “enrichments” that can augment your data.
[... 1202 words]Annotate and explore your data with datasette-comments. New plugin for Datasette and Datasette Cloud: datasette-comments, providing tools for collaborating on data exploration with a team through posting comments on individual rows of data.
Alex Garcia built this for Datasette Cloud but as with almost all of our work there it’s also available as an open source Python package. # 30th November 2023, 9:59 pm
Weeknotes: DevDay, GitHub Universe, OpenAI chaos
Three weeks of conferences and Datasette Cloud work, four days of chaos for OpenAI.
[... 766 words]Weeknotes: the Datasette Cloud API, a podcast appearance and more
Datasette Cloud now has a documented API, plus a podcast appearance, some LLM plugins work and some geospatial excitement.
[... 1243 words]Weeknotes: Embeddings, more embeddings and Datasette Cloud
Since my last weeknotes, a flurry of activity. LLM has embeddings support now, and Datasette Cloud has driven some major improvements to the wider Datasette ecosystem.
[... 2427 words]Datasette 1.0a4 and 1.0a5, plus weeknotes
Two new alpha releases of Datasette, plus a keynote at WordCamp, a new LLM release, two new LLM plugins and a flurry of TILs.
[... 2709 words]Datasette Cloud and the Datasette 1.0 alphas. I sent out the Datasette Newsletter for the first time in quite a while, with updates on Datasette Cloud, the Datasette 1.0 alphas, a note about the security vulnerability in those alphas and a summary of some of my research into combining LLMs with Datasette. # 22nd August 2023, 7:56 pm
Datasette Cloud, Datasette 1.0a3, llm-mlc and more
Datasette Cloud is now a significant step closer to general availability. The Datasette 1.03 alpha release is out, with a mostly finalized JSON format for 1.0. Plus new plugins for LLM and sqlite-utils and a flurry of things I’ve learned.
[... 1690 words]Welcome to Datasette Cloud. We launched the Datasette Cloud blog today! The SaaS hosted version of Datasette is ready to start onboarding more users—this post describes what it can do so far and hints at what’s planned to come next. # 16th August 2023, 1:46 am
Datasette 1.0a3. A new Datasette alpha release. This one previews the new default JSON API design that’s coming in 1.0—the single most significant change in the 1.0 milestone, since I plan to keep that API stable for many years to come. # 9th August 2023, 8:49 pm
Weeknotes: Plugins for LLM, sqlite-utils and Datasette
The principle theme for the past few weeks has been plugins.
[... 1203 words]Weeknotes: Self-hosted language models with LLM plugins, a new Datasette tutorial, a dozen package releases, a dozen TILs
A lot of stuff to cover from the past two and a half weeks.
[... 1742 words]Weeknotes: Parquet in Datasette Lite, various talks, more LLM hacking
I’ve fallen a bit behind on my weeknotes. Here’s a catchup for the last few weeks.
[... 769 words]sqlite-history: tracking changes to SQLite tables using triggers (also weeknotes)
In between blogging about ChatGPT rhetoric, micro-benchmarking with ChatGPT Code Interpreter and Why prompt injection is an even bigger problem now I managed to ship the beginnings of a new project: sqlite-history.
[... 1680 words]Weeknotes: A new llm CLI tool, plus automating my weeknotes and newsletter
I started publishing weeknotes in 2019 partly as a way to hold myself accountable but mainly as a way to encourage myself to write more.
[... 830 words]Semi-automating a Substack newsletter with an Observable notebook
I recently started sending out a weekly-ish email newsletter consisting of content from my blog. I’ve mostly automated that, using an Observable Notebook to generate the HTML. Here’s how that system works.
[... 2520 words]I built a ChatGPT plugin to answer questions about data hosted in Datasette
Yesterday OpenAI announced support for ChatGPT plugins. It’s now possible to teach ChatGPT how to make calls out to external APIs and use the responses to help generate further answers in the current conversation.
[... 1801 words]Weeknotes: AI won’t slow down, a new newsletter and a huge Datasette refactor
I’m a few weeks behind on my weeknotes, but it’s not through lack of attention to my blog. AI just keeps getting weirder and more interesting.
[... 1255 words]Weeknotes: A bunch of things I learned this week, plus datasette-explain
The Datasette table view refactor, JSON redesign and ?_extra= continues this week, mainly in this ongoing pull request and this tracking issue.
datasette-scraper, Big Local News and other weeknotes
In addition to exploring the new MusicCaps training and evaluation data I’ve been working on the big Datasette JSON refactor, and getting excited about a Datasette project that I didn’t work on at all.
[... 1744 words]Examples of sites built using Datasette (via) I gave the examples page on the Datasette website a significant upgrade today: it now includes screenshots (taken using shot-scraper) of six projects chosen to illustrate the variety of problems Datasette can be used to tackle. # 29th January 2023, 3:40 am
Exploring MusicCaps, the evaluation data released to accompany Google’s MusicLM text-to-music model
Google Research just released MusicLM: Generating Music From Text. It’s a new generative AI model that takes a descriptive prompt and produces a “high-fidelity” music track. Here’s the paper (and a more readable version using arXiv Vanity).
[... 1323 words]How to implement Q&A against your documentation with GPT3, embeddings and Datasette
If you’ve spent any time with GPT-3 or ChatGPT, you’ve likely thought about how useful it would be if you could point them at a specific, current collection of text or documentation and have it use that as part of its input for answering questions.
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