https://github.com/brandonwillard
The easy part is that it's clearly a very nice way to start a conversation with someone.
A secondary effect (which is a bit hard to quantify) is that doing things like this helps other people to know what things interest you, which can be a source of opportunities.
Researchers never forget a compliment either, particularly from someone they respect.
If you read a paper you like, let the authors know.
The easy part is that it's clearly a very nice way to start a conversation with someone.
A secondary effect (which is a bit hard to quantify) is that doing things like this helps other people to know what things interest you, which can be a source of opportunities.
Try this out. We used the article about Neural Magic's recent acquisition by Red Hat.
You can even change your structure to easily add reasoning and observations for better output quality.
Check the gist out: https://buff.ly/4hhCFVz
Try this out. We used the article about Neural Magic's recent acquisition by Red Hat.
You can even change your structure to easily add reasoning and observations for better output quality.
Check the gist out: https://buff.ly/4hhCFVz
We wrote a case study about .gifter, a demonstration of a simple LLM-powered web applications with structured generation (Outlines) and Flask!
It's also a tool to help you buy gifts for your loved ones, in case you need ideas.
Link: https://buff.ly/4fenrz5
We wrote a case study about .gifter, a demonstration of a simple LLM-powered web applications with structured generation (Outlines) and Flask!
It's also a tool to help you buy gifts for your loved ones, in case you need ideas.
Link: https://buff.ly/4fenrz5
Would you like to see more
- Blog posts (less code, more think pieces)
- Videos (deep dives + short overviews)
- Cookbooks (focused code)
- Demos (bigger projects)
Would you like to see more
- Blog posts (less code, more think pieces)
- Videos (deep dives + short overviews)
- Cookbooks (focused code)
- Demos (bigger projects)
Would you like to see more
- Blog posts (less code, more think pieces)
- Videos (deep dives + short overviews)
- Cookbooks (focused code)
- Demos (bigger projects)
One is LIVE in San Francisco with @dottxtai.bsky.social (me),
@neo4j.bsky.social, Modal, and Neural Magic.
The other is VIRTUAL with
@odsc.bsky.social!
ODSC: www.summit.ai?utm_campaign...
OSS AI: lu.ma/2jacrv79
One is LIVE in San Francisco with @dottxtai.bsky.social (me),
@neo4j.bsky.social, Modal, and Neural Magic.
The other is VIRTUAL with
@odsc.bsky.social!
ODSC: www.summit.ai?utm_campaign...
OSS AI: lu.ma/2jacrv79
Granted, they can provide some powerful abstractions.
But these abstractions are too early -- we don't know how to build AI systems. We should build from first principles.
Granted, they can provide some powerful abstractions.
But these abstractions are too early -- we don't know how to build AI systems. We should build from first principles.
Check out our new video!
Vid: https://buff.ly/3ZLYnep
@cameron.pfiffer.org shows off .gifter, a language model-powered gift recommendation engine. Features support for web search with Exa.
Check out our new video!
Vid: https://buff.ly/3ZLYnep
@cameron.pfiffer.org shows off .gifter, a language model-powered gift recommendation engine. Features support for web search with Exa.
I'll have a talk, but a lot of it I'm also interested in having be audience conversation about Guix, Spritely, Guile, Scheme, decentralized networks, and what we see as the future together!
I'll have a talk, but a lot of it I'm also interested in having be audience conversation about Guix, Spritely, Guile, Scheme, decentralized networks, and what we see as the future together!
Introducing the Robot Santa Game, a terminal-based game that can be played by you or a language model.
This showcases how to permit a model to choose from a set of actions reliably, as is often the case with games.
Check out the demo code: https://buff.ly/49uryWK
Introducing the Robot Santa Game, a terminal-based game that can be played by you or a language model.
This showcases how to permit a model to choose from a set of actions reliably, as is often the case with games.
Check out the demo code: https://buff.ly/49uryWK
Code: https://github.com/dottxt-ai/demos/tree/main/logs
We experimented with a log monitoring system. Spin up the agent and it'll monitor your logs for any potential issues -- it works with webserver logs like nginx or Apache, Linux system logs, etc.
We experimented with a log monitoring system. Spin up the agent and it'll monitor your logs for any potential issues -- it works with webserver logs like nginx or Apache, Linux system logs, etc.
Structured generation, also called structured output or constrained decoding, is always correctly formatted. The model literally cannot fail to output the format you specify.
We experimented with a log monitoring system. Spin up the agent and it'll monitor your logs for any potential issues -- it works with webserver logs like nginx or Apache, Linux system logs, etc.
youtu.be/csw6TVfzBcw
We experimented with a log monitoring system. Spin up the agent and it'll monitor your logs for any potential issues -- it works with webserver logs like nginx or Apache, Linux system logs, etc.
youtu.be/csw6TVfzBcw
Learn what context free grammars are, and how to make JSON where every string has to start with the letter A.
youtu.be/rMHdpo_D9m0?...
Learn what context free grammars are, and how to make JSON where every string has to start with the letter A.
youtu.be/rMHdpo_D9m0?...
Learn what context free grammars are, and how to make JSON where every string has to start with the letter A.
youtu.be/rMHdpo_D9m0?...
Well, we've taken a look and found serious issue in this paper, and shown, once again, that structured generation *improves* evaluation performance!