Pierre-Louis Bescond – Medium

Pierre-Louis Bescond

Pinned

Published in
Towards Data Science

Explaining how I reached the top ranks of the new Data-Centric competition

Following the endorsement of Andrew NG himself(!) regarding my last article, it felt natural to share all tips (with code!) of how I…

Sep 5, 2021

Explaining how I reached the top ranks of the new Data-Centric competition

Sep 5, 2021

Pinned

Pierre-Louis Bescond’s articles on Medium

Data Science, Machine Learning and Innovation

Jan 2, 2021

Pierre-Louis Bescond’s articles on Medium

Jan 2, 2021

Published in
Roquette Data & Adv. Analytics

Managing your mailbox with an LLM

With this simple example, I’ll show you how I combined Power Automate and a Language Model to detect and sort the 20 cold emails I receive…

Nov 1

Managing your mailbox with an LLM

Nov 1

Published in
Roquette Data & Adv. Analytics

Retro-Engineering a Database Schema: Mistral Models vs. GPT4, LLama2, and Bard (Episode 3)

How do “Mixtral 8x7b” and “Mistral Au Large”, these new LLMs developed by former developers of LLama-2, perform compared to OpenAI, Google…

Mar 5

Retro-Engineering a Database Schema: Mistral Models vs. GPT4, LLama2, and Bard (Episode 3)

Mar 5

Published in
Towards Data Science

Benchmarking Snowflake Cortex against Scikit-Learn on a real-life forecasting use-case.

One of the most trending cloud-based Data platforms, Snowflake, now embeds advanced modeling features and I gave a shot to the forecasting…

Feb 25

Benchmarking Snowflake Cortex against Scikit-Learn on a real-life forecasting use-case.

Feb 25

Published in
Roquette Data & Adv. Analytics

My first impressions on Copilot for Microsoft 365

Here is what the first few hours of working with this long-awaited add-on have taught me…

Jan 25

My first impressions on Copilot for Microsoft 365

Jan 25

Published in
Towards Data Science

Retro-Engineering a Database Schema: GPT vs. Bard vs. LLama2 (Episode 2)

In my previous article, I benchmarked GPT-4 model against Bard. Now Llama-2 enters the arena and it’s high time we see how it performs…

Oct 6, 2023

Retro-Engineering a Database Schema: GPT vs. Bard vs. LLama2 (Episode 2)

Oct 6, 2023

Published in
Roquette Data & Adv. Analytics

The Long-Term Paradox of LLMs Training Material

Large Language Models have marked a turning point in content creation, but in the long term, how will we manage ever more AI-based corpus…

Oct 6, 2023

The Long-Term Paradox of LLMs Training Material

Oct 6, 2023

Published in
Towards Data Science

Retro-engineering a database schema and quality checks: GPT vs. Bard

Can LLMs retro-engineer a consolidated dataset to design the original database and suggest the corresponding data quality checks?

Jul 25, 2023

Retro-engineering a database schema and quality checks: GPT vs. Bard

Jul 25, 2023

Published in
Towards Data Science

Querying a Corpus of Documents in GPT Mode with Azure “Prompt Flow”

How to automatically vectorize content and create LangChain-like mechanisms to efficiently query a corpus of documents

Jul 21, 2023

Querying a Corpus of Documents in GPT Mode with Azure “Prompt Flow”

Jul 21, 2023

Pierre-Louis Bescond

Pierre-Louis Bescond

Head of Data & Advanced Analytics @ Roquette | Winner of the 1st WorldWide Data Centric Deep Learning Contest | Data Science & Machine Learning Passionate!

Following

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams