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Naturallanguageprocessing

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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Naturallanguageprocessing

Andrei Apostol in MantisNLP

Nov 1, 2023

FlashAttention — Techniques for Efficient Inference of LLMs (III/IV)

1 response

Matthew Upson in MantisNLP

Oct 24, 2023

Illustration of an individual with medium skin tone sitting at a desk with four computer monitors displaying various graphs and data visualizations. The person is wearing a dark suit, white shirt, and glasses, with their right hand resting on their chin in a thoughtful pose. Behind them, a stylized brain floats with numerous interconnected icons and symbols representing different thoughts or concepts, all set against a dark blue background with a grid pattern.

How we think about Generative AI

It’s no exaggeration to say that the world has changed in the last year thanks to the developments in…

Matthew Upson in MantisNLP

Apr 26, 2023

Deploy a cutting edge machine learning model with one line of code

Nick Sorros in MantisNLP

Apr 20, 2023

Prototyping with Large Language Models 🪄

Do we even need annotated data anymore?

Nick Sorros in MantisNLP

Mar 1, 2023

Eight examples is all you need ✨

It is no secret that the power of machine learning models comes from the data that they are trained…

1 response

Matthew Upson in MantisNLP

Feb 15, 2023

Why we’re switching to Hugging Face Inference Endpoints, and maybe you should too

Hugging Face recently launched Inference Endpoints. In this blog post we look at some of the pros and cons, and why we’re…

2 responses

Popescu Daniel in MantisNLP

Dec 21, 2022

how many NLP tasks are used in one Large Language Model

FlashAttention — Techniques for Efficient Inference of LLMs (III/IV)

How we think about Generative AI

Deploy a cutting edge machine learning model with one line of code

Prototyping with Large Language Models 🪄

Do we even need annotated data anymore?

Eight examples is all you need ✨

Why we’re switching to Hugging Face Inference Endpoints, and maybe you should too

Hugging Face recently launched Inference Endpoints. In this blog post we look at some of the pros and cons, and why we’re…

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

Speed up 🏎️ data annotation with active learning ✨

Extracting useful information from documents with Named Entity Recognition

Match text from different domains using language models 📑