Machine Learning AI News & Research · DeepTrendLab

5 Techniques for Efficient Long-Context RAG

From Notebook to Production: Running ML in the Real World (Part 4)

Last Updated on April 16, 2026 by Editorial Team Author(s): Raj kumar Originally published on Towards AI. Part 4 of a 4-part series: From Data to Decisions Most machine learning…

How to make remarkable videos with Seedance 2.0

If you have never tried a video model before, now is the time.

Beyond Vector Search: Building a Deterministic 3-Tiered Graph-RAG System

The L1 Loss Gradient, Explained From Scratch

Last Updated on April 10, 2026 by Editorial Team Author(s): Utkarsh Mittal Originally published on Towards AI. A complete, step-by-step walkthrough of how gradient descent works with absolute-value loss —…

Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs

AI Models Map the Colorado River’s Hard Choices

The Colorado River begins as snow. Every spring, the mountain snowpack of the Rockies melts into streams that feed into reservoirs that supply 40 million people across seven U.S. states.…

Safetensors is Joining the PyTorch Foundation

Decentralized Training Can Help Solve AI’s Energy Woes

Artificial intelligence harbors an enormous energy appetite. Such constant cravings are evident in the hefty carbon footprint of the data centers behind the AI boom and the steady increase over…

Falcon Perception

Any Custom Frontend with Gradio's Backend

Why Are Large Language Models So Terrible at Video Games?

Large language models (LLMs) have improved so quickly that the benchmarks themselves have evolved, adding more complex problems in an effort to challenge the latest models. Yet LLMs haven’t improved…

Training Driving AI at 50,000× Real Time

This is a sponsored article brought to you by General Motors. Visit their new Engineering Blog for more insights. Autonomous driving is one of the most demanding problems in physical…

The Future of AI Is Open and Proprietary

AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist.…

Build a Domain-Specific Embedding Model in Under a Day

AI Trained on Birdsong Can Recognize Whale Calls

Birds’ chirps, trills, and warbles echo through the air, while whales’ boings , “ biotwangs ,” and whistles vibrate underwater. Despite the variations in sounds and the medium through which…

Introducing Storage Buckets on the Hugging Face Hub

Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines

How to prompt Seedream 5.0

Seedream 5.0 brings multi-step reasoning, example-based editing, and deep domain knowledge to image generation. Here's what you should know.

Recraft V4: image generation with design taste

Recraft V4 generates art-directed images — and actual editable SVGs — with strong composition, accurate text rendering, and what the Recraft team calls "design taste." Four models are available on…

Information-Driven Design of Imaging Systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well…

AI, networks and Mechanical Turks

How far do LLMs give us a step change in how good a search and recommendation system can be? Do they let you build one without needing a vast user…

A Guide to Solveit Features

Large language models make it remarkably easy to generate code. Ask ChatGPT or Claude to build an application, and you’ll receive hundreds of lines of working code in seconds. But…

How to prompt Veo 3.1

Google's Veo 3.1 brings powerful new video generation capabilities including reference images, first/last frame control, and enhanced image-to-video. Here's everything you need to know.