Towards Data Science

@TDataScience

The world's leading publication for data science and artificial intelligence professionals. Submit an Article ✍️ contributor.insightmediagroup.io

We're Global 🌏

towardsdatascience.com

Replies Reposts Media

Towards Data Science
@TDataScience
1h
AI agents become more valuable when they can handle the messy details of real customer interactions. @snr14 shows how a LangGraph agent can collect information, manage state, and streamline a booking workflow.
I Replaced a 15-Minute Booking Process with a LangGraph AI Agent | Towards Data Science
From towardsdatascience.com
Towards Data Science
@TDataScience
3h
"Unlike optimality cuts, which improve the approximation of the operational cost, feasibility cuts restrict the master to decisions that admit at least one feasible operational solution." Luis Fernando Pérez Armas continues to explore Benders decomposition in his latest deep
How Benders Decomposition Works, Part II: Feasibility Cuts | Towards Data Science
From towardsdatascience.com
Towards Data Science
@TDataScience
5h
Last call! Our Annual Reader Survey closes soon. This is your final chance to weigh in on the future of Towards Data Science. Thank you to everyone who's already responded — and if you haven't, there's still time: bit.ly/4bXFBGH
Towards Data Science
@TDataScience
5h
Digging deeper into structured outputs and their pitfalls, @BenjaminNweke11 shares actionable insights on how to ensure they remain accurate even when dealing with messy, incomplete data.
Your LLM Can Return Perfect JSON and Still Be Wrong | Towards Data Science
From towardsdatascience.com
Towards Data Science
@TDataScience
7h
"The standard framing assumes a chaotic corpus you inherit (PDFs, scans, contracts) and parsing is half the battle. The FAQ inverts that." Kezhan Shi explains the specific challenges of using FAQs as the basis of a RAG system.
FAQ as RAG: When You Get to Design the Corpus | Towards Data Science
From towardsdatascience.com