Marktechpost

JUNE 26, 2023

By breaking down difficult activities stated in natural language into simpler phases that can be handled by specialized end-to-end trained models or other programs, they study the usage of big language models to handle the long tail of complex tasks in this work. Check Out The Paper, Github , and Project Page.

Computer Vision 87

Computer Vision AI AI AI Tools 87

Unite.AI

JUNE 15, 2023

Well, we also Triage, which is the name of our second product, route issues, tag them, make sure they get to the right agent in the right channel, the right time, so you can deploy that. It's a huge problem, and it's a big limiter. I think that was big, and layoffs and everything, and just the whole world shifted.

Large Language Models 246

Large Language Models Generative AI Chatbots Auto-complete 246

deepsense.ai

MARCH 28, 2024

You can use the knowledge about the format to come up with a better hierarchy of separators – for example, using the html tags. You can use some additional metadata with your chunks, such as tags, that can be used to perform initial filtering. Hierarchical chunking Do you want your chunks big or small?

Chatbots 52

Chatbots LLM Metadata OpenAI 52

Explosion

SEPTEMBER 17, 2013

There are a tonne of “best known techniques” for POS tagging, and you should ignore the others and just use Averaged Perceptron. You should use two tags of history, and features derived from the Brown word clusters distributed here. About 50% of the words can be tagged that way. _timestamps[f][c] = self.i upd_feat(guess, f, -1.0)

Python 40

Python Algorithm NLP Natural Language Processing 40