Paper 👉 https://arxiv.org/pdf/2110.13048 If you don’t have too much data and the imbalance is not too extreme, the typical way to deal with it is to simply reweigh the samples such that the ...

Our newest research project is out, and aims to solve one of the biggest current problem in RAG (Retrieval Augmented Generation) with PDF documents ! 🔍 In many practical use cases, to answer a u...

DoLa decoding, which made a conference paper at ICLR ‘24, has just been merged in Transformers by João Gante and Yung-Sung Chuang. This new decoding method is simple yet extremely impressive! Remi...

As data continues to shape our digital world, understanding key concepts is crucial. Here’s a concise overview of essential data terms for 2024: 𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴: Discovering hidden patterns ...

In the race to leverage Generative AI, many organizations are sprinting towards deployment without considering the long-term implications. Here’s what I’m seeing in the field: 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂...

𝟭. 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 🔹𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻: Establishes the project’s scope, objectives, and requirements. 🔹𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀: Involves gathering and analyzing requirements, defining the project roadmap, and allocatin...

How to prepare for a Google interview? Here’s the answer to the no. 1 question in my DMs right now: For internships and entry-level roles (L3), Google typically conducts 3-5 coding rounds follo...

👉 Pager : https://arxiv.org/pdf/2407.02485 Dual-purpose re-ranker/generation models that outperform GPT-4 across 9 RAG benchmarks 👇👇👇 Traditional RAG methods retrieve the top-k contexts fro...

I just published a new cookbook showing how to easily improve Retrieval Augmented Generation (RAG) with an agent system using Transformers Agents. Vanilla RAG has the following limitations: ➤ 𝗜...

In today’s rapidly evolving tech landscape, XaaS (Anything as a Service) models are revolutionizing how businesses operate. These cloud-based solutions offer on-demand access to various services...