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Natural Language Processing @ Artefact
Why you need LLMOps
Why you need LLMOps
LLMOps merges DevOps and MLOps to solve operational challenges of LLMs, ensuring adaptability, evaluation, and monitoring for organizations
Meryam ASSERMOUH
Feb 8
Unleashing the Power of LangChain Expression Language (LCEL): From Proof of Concept to Production
Unleashing the Power of LangChain Expression Language (LCEL): From Proof of Concept to Production
LangChain has become the most used Python library to interact with LLMs in less than a year…
Tom Darmon
Jan 25
LLMs Deployment: a practical Cost analysis
LLMs Deployment: a practical Cost analysis
A dive into the several ways of deploying an LLM focused on their associated costs.
Hugo Debes
Oct 30, 2023
Serving FastAI models with Google Cloud AI Platform
Serving FastAI models with Google Cloud AI Platform
How we handled the training and the deployment of our FastAI models using AI Platform — Part II
Amale Elhamri
Mar 31, 2021
Automating the training of ML models with Google Cloud AI Platform
Automating the training of ML models with Google Cloud AI Platform
How we handled the training and the deployment of our FastAI models using Google Cloud AI Platform — Part I
Sacha Lasry
Mar 17, 2021
Using NLP to extract quick and valuable insights from your customers’ reviews
Using NLP to extract quick and valuable insights from your customers’ reviews
Everyone talks about BERT, GPT-3, … but did you know that with some simple NLP you can already extract valuable insights from your data?
Louise MORIN
Mar 3, 2021
Introducing NLPretext
Introducing NLPretext
Working on NLP projects? Tired of always looking for the same silly preprocessing functions on the web, such as removing accents from…
Amale Elhamri
Feb 22, 2021
How to train a language model from scratch without any linguistic knowledge?
How to train a language model from scratch without any linguistic knowledge?
This article explains how I created my own made language model in Korean, a complex language for a non speaker with limited training data
Amale Elhamri
Nov 17, 2020
NLU benchmark for intent detection and named-entity recognition in call center conversations
NLU benchmark for intent detection and named-entity recognition in call center conversations
This article introduces a few frameworks performing NLU and describes their baseline performance
Rafaelle A
Nov 17, 2020
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