~/devreads

#deep-learning

8 posts

8 Jul

Adel El Hallak 3 min read

NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among open models, while completing more tasks at higher throughput and running at 10x […]

deep learningnemotron

5 Jan

Brian Caulfield 6 min read

NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into every domain and every device. “Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence,” Huang said. “What that means is some $10 trillion […]

corporatedeep learningdrivinghardwaresupercomputing

11 Dec 2025

Ashraf Eassa 3 min read

Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 in December. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. GPT-5.3 Codex — the first OpenAI agentic coding model to help build itself — was released in February and […]

cloudcorporatedeep learningai training

4 Dec 2025

Sri Raghava Muddu 7 min read

Image Source: Google Nano Banana TL;DR LLMs struggle to summarize the thousands of reviews for a single product because of context window limits and conflicting opinions. The proposed solution, XL-OPSUMM, is a scalable framework that summarizes reviews incrementally (in chunks) to overcome these limits. Its key innovation is the Aspect Dictionary — a numerical scorecard that tracks the exact count…

ecommercelarge-language-modelsdeep-learningdata-sciencetext-summarization

3 Oct 2025

Jacopo Bono 12 min read

Introduction Over the years, we have evolved from using simple, often rule-based algorithms to sophisticated machine learning models. These models are incredibly good at finding patterns in large datasets, but due to their complexity it is frequently challenging for a human to understand why a certain input leads to its respective output. This is especially problematic in areas where high-stakes…

researchconcept-learningcausalitydeep-learningexplainability

28 Nov 2023

Roland Meertens 8 min read

A clustering-based approach to create deep learning datasets in a day Introduction Understanding what’s happening in an image is both an important task, as well as a costly one. In the last few years, the field of computer vision has greatly accelerated due to the advances in neural networks. At Bumble Inc., we see potential value in computer vision for…

data-sciencemachine-learningclusteringdeep-learningdataset

14 Nov 2022

Vijay Yadav 6 min read

Primary authors: Vijay Yadav , Deepak HR Co-author : Narasimha 1. INTRODUCTION MakeMyTrip has multiple ranking/recommendation systems. We use learning to rank, sequence-based recommendation models, content or behavior representation-based algorithms, and collaborative filtering algorithms too. After the customer browses around, searching for hotels in city A, B or C, a substantial portion search for a single hotel and look at…

data-sciencemodel-selectioncontextual-banditreinforcement-learningdeep-learning

4 Jan 2020