I’m Rémi, co-founder and CEO of @dottxtai.bsky.social. We do structured generation with LLM, which means we are able to enforce constraints on the output (regex, JSON Schema, Grammar) during inference time. It’s very cool.
dottxt.co
Most libraries will give the prompt a special role, separate it from the other inputs. We don’t anymore.
Most libraries will give the prompt a special role, separate it from the other inputs. We don’t anymore.
🇫🇷 Do you like Paris?
Then you'll love the conference, Rust In Paris, that my colleague Yvan Sraka is delivering his talk, Beyond Procedural Macros: A Trait-Based Framework for Bindgen, at next month!
www.rustinparis.com
🇫🇷 Do you like Paris?
Then you'll love the conference, Rust In Paris, that my colleague Yvan Sraka is delivering his talk, Beyond Procedural Macros: A Trait-Based Framework for Bindgen, at next month!
www.rustinparis.com
Signup if you're in San Francisco: lu.ma/2jacrv79
- First contribution by @chicham!
- You can now use enums in outlines.generate.choice
- Compilation time improvements.
- Using the rust-native JSON-schema to regex, rather than the Python implementation
- First contribution by @chicham!
- You can now use enums in outlines.generate.choice
- Compilation time improvements.
- Using the rust-native JSON-schema to regex, rather than the Python implementation
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?...
This dataset has been collected using Bluesky's API, and I hope it will be useful for all the researchers out there!
📊 1M public posts from Bluesky's firehose API
🔍 Includes text, metadata, and language predictions
🔬 Perfect to experiment with using ML for Bluesky 🤗
huggingface.co/datasets/blu...
Well, we've taken a look and found serious issue in this paper, and shown, once again, that structured generation *improves* evaluation performance!
Well, we've taken a look and found serious issue in this paper, and shown, once again, that structured generation *improves* evaluation performance!
Well aware of Brandolini's law we published a thorough rebuttal of the main conclusion, highlighted the key methodological flaws and taught a few things in the process.
Hope you enjoy it!
Well, we've taken a look and found serious issue in this paper, and shown, once again, that structured generation *improves* evaluation performance!
Well aware of Brandolini's law we published a thorough rebuttal of the main conclusion, highlighted the key methodological flaws and taught a few things in the process.
Hope you enjoy it!
@willkurt.bsky.social provides a rebuttal for a reasonably well known paper which concluded that structured generation with LLMs always resulted in worse performance.
We do not find the same thing.
blog.dottxt.co/say-what-you...
@willkurt.bsky.social provides a rebuttal for a reasonably well known paper which concluded that structured generation with LLMs always resulted in worse performance.
We do not find the same thing.
blog.dottxt.co/say-what-you...
I’m Rémi, co-founder and CEO of @dottxtai.bsky.social. We do structured generation with LLM, which means we are able to enforce constraints on the output (regex, JSON Schema, Grammar) during inference time. It’s very cool.
dottxt.co
I’m Rémi, co-founder and CEO of @dottxtai.bsky.social. We do structured generation with LLM, which means we are able to enforce constraints on the output (regex, JSON Schema, Grammar) during inference time. It’s very cool.
dottxt.co
We'll be posting demos, interesting tidbits, and boosting cool AI stuff on here.
dottxt.co
We'll be posting demos, interesting tidbits, and boosting cool AI stuff on here.
dottxt.co
I did a tiny side project: a program that automatically generates a properly formatted .ics file from a text description (e.g. copy/paste an email) using an LLM, and imports it to your favorite calendar app!
Structured generation is cool -- shoutout @remilouf.bsky.social and .txt
I did a tiny side project: a program that automatically generates a properly formatted .ics file from a text description (e.g. copy/paste an email) using an LLM, and imports it to your favorite calendar app!
Structured generation is cool -- shoutout @remilouf.bsky.social and .txt
Wall Street analysts HATE this!
Use LLMs to convert messy SEC filings into clean CSV data using structured generation.
The one weird trick? Convert your HTML to markdown + use Outlines.
Link below 👇
Wall Street analysts HATE this!
Use LLMs to convert messy SEC filings into clean CSV data using structured generation.
The one weird trick? Convert your HTML to markdown + use Outlines.
Link below 👇
The Bunny B1 shows how a small device using a SmolLM2 model + Outlines can consistently map natural language requests to the correct app!
Check it out in this gif!
The Bunny B1 shows how a small device using a SmolLM2 model + Outlines can consistently map natural language requests to the correct app!
Check it out in this gif!
@remilouf.bsky.social and the team are working towards a 1.0.0 release with an API that looks very nice, in my opinion.
@remilouf.bsky.social and the team are working towards a 1.0.0 release with an API that looks very nice, in my opinion.