Top stories published by MantisNLP in 2022

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Top Stories published by MantisNLP in 2022

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2022

January

July

Popescu Daniel in MantisNLP

Dec 21, 2022

how many NLP tasks are used in one Large Language Model

Prompt Engineering — Part I — How to interact with Large Language Models

1 response

Popescu Daniel in MantisNLP

Feb 2, 2022

Implementing a Custom Intent Classification Model with Rasa

This post was originally written by Anna Vechkaeva

Rasa is a framework for developing conversational AI agents, which offers a number of off-the-shelf models which can be trained on custom data. The…

Matthew Upson in MantisNLP

Mar 2, 2022

MLOps for Conversational AI with Rasa, DVC, and CML (Part II)

Nick Sorros in MantisNLP

May 3, 2022

MLOps with SageMaker — Part I

How to effortlessly train sklearn 📊, pytorch🔥, and transformers 🤗…

Nick Sorros in MantisNLP

Nov 8, 2022

Speed up 🏎️ data annotation with active learning ✨

Popescu Daniel in MantisNLP

Feb 22, 2022

Going the extra mile, lessons learnt from Kaggle on how to train better NLP models (Part II)

In Part I, we presented the challenge and constructed a basic transformer model that we fine-tuned on the data. The score we got previously was 0.624. (As a reminder, a…

Christos Christodoulou in MantisNLP

Apr 7, 2022

Our experiments with 🤗 AutoNLP

When Huggingface announced AutoNLP, we were pretty excited and we just couldn’t wait to experiment with…

Matthew Upson in MantisNLP

Nov 1, 2022

A document with geographic entities being extracted.

Extracting useful information from documents with Named Entity Recognition

Nick Sorros in MantisNLP

Apr 12, 2022

Making an optimisation algorithm 10k times faster 🏎

How we made our multilabel classification…

Matthew Upson in MantisNLP

Sep 13, 2022

MLOps for Conversational AI with Rasa, DVC, and CML (Part III)

2021

2023

These were the top 10 stories published by MantisNLP in 2022. You can also dive into monthly archives for 2022 by using the calendar at the top of this page.

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MantisNLP

We are an AI consultancy focused on Natural Language Processing. We'll be writing about machine learning and natural language processing like: chatbots, open source software, and more…

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