ML6team
We are a team of AI experts and the fastest growing AI company in Belgium. With offices in Ghent, Amsterdam, Berlin and London, we build and implement self learning systems across different sectors to help our clients operate more efficiently. Find out more via www.ml6.eu
Matthias Feys
Data geek @ml6team by day & GDE for ML and @googlecloud by night
Robbe Sneyders
Principal ML Engineer @ ML6
Thomas Uyttenhove
Machine Learning Engineer at ML6
Jules Talloen
Machine Learning Engineer at ML6
Jérémy Keusters
Machine Learning Engineer at ML6
Ruwan Lambrichts
Machine Learning Engineer @ ML6
Matthias Cami
Working @ML6 as ML engineer. I like problem solving & experimenting.
Andres Vervaecke
Data Engineer at ML6.
Michiel De Koninck
Mathematical Engineer with a healthy affinity for the world of (generative) AI.
Nicholas Cointepas
Consultant, innovation enthusiast, neurodiversity advocate
Pieter Coussement
PhD Biotech turned into Data Engineer. Give me challenges and I’ll do my best. https://pietercoussement.netlify.app/
Sharon Grundmann
Machine Learning Engineer @ ML6
Latest Posts
Practicalities of LLM guardrails — a demo by ML6
We have seen rapid integration of Large Language Model’s (LLM), like Chat-GPT, into applications and services. These powerful tools…
Why You Need a GenAI Gateway
Generative AI is ubiquitous these days, and organizations are rapidly integrating GenAI into their business processes. However, building…
Accelerating (Biomedical) Knowledge Graph Construction with LLMs
Constructing knowledge graphs is a tedious and cost-consuming process. With the rise of LLMs, this problem can be addressed efficiently…
Unlocking the Power of AI Agents: When LLMs Can Do More Than Just Talk
Remember J.A.R.V.I.S. from Iron Man? That intelligent assistant that seemed to have a solution for everything? While we’re not quite there…
Copilot: RAG Made Easy?
In recent years, Large Language Models (LLMs) have revolutionised natural language processing by enabling machines to understand and…
Advancements in Protein Design
For avid followers of the Protein design space, you’ll likely have come across our earlier blog detailing the ins and outs of the current…
The landscape of LLM guardrails: intervention levels and techniques
The capacity of the latest Large Language Models (LLMs) to process and produce highly coherent human-like texts opens up a large potential…
How LLMs access real-time data from the web
Unravelling web access for modern large language models
Graph representation learning for drug repurposing
Introduction
Reviews
Login to submit your review.