Perhaps the greatest challenge – and opportunity – of LLMs is extending their powerful capabilities to solve problems beyond the data on which they have been trained, and to achieve comparable results with data the LLM has never seen. This…
Links We’re releasing three agent architectures in LangGraph showcasing the “plan-and-execute” style agent design. These agents promise a number of improvements over traditional Reasoning and Action (ReAct)-style agents. ⏰ First of all, they can execute multi-step workflow faster, since the…
When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT sometimes start to collapse, causing the bots’ performance to rapidly deteriorate. A team of researchers from MIT and elsewhere…
Datasets We used 50 cell images of a mouse liver with a ground truth attached by Kyoto University43. The ground truth image includes three labels: cytoplasm, nucleus, and membrane. The images and ground truth have a size of \(256 \times…
With a brain the size of a pinhead, insects perform fantastic navigational feats. They avoid obstacles and move through small openings. How do they do this, with their limited brain power? Understanding the inner workings of an insect’s brain can…
Editor’s Note: We’re very excited to share this work by BCG. We’ve worked closely with the BCG over the past year to help support companies bring GenAI initiatives into production. We were intrigued to hear about their AgentKit platform, and…
image by some robot INTRODUCTION Creating a search engine in Rust is an excellent way to start exploring the language’s strengths in performance and safety. This project transitions indexing and searching concepts into Rust’s ecosystem, challenging but rewarding due to…
Home » Blog » Image Processing with Gemini Pro Table of Contents In this tutorial, you will learn how to leverage the Gemini Pro generative model with Google AI Python SDK (software development kit) to generate various image processing techniques…
Grammar Correction is one of the major problems in NLP (Natural Language Processing). Tools like Grammarly that help with automated grammar correction are invaluable in modern online writing. A lot of online tools like Grammarly pop up almost every few…
Deephaven is commonly used to manipulate huge amounts of data — multiple tables, billions of rows, and hundreds of columns. It’s built to excel in both versatility of operations and speed of execution. In this article, we’ll explore how Deephaven…
It is increasingly viable to use synthetic data for pretraining, instruction-tuning, and preference-tuning. Synthetic data refers to data generated via a model or simulated environment, instead of naturally occurring on the internet or annotated by humans. Relative to human annotation,…
Regression predicts HRD from histology We developed a regression-based DL approach which combines a feature extractor trained by SSL33 and an attMIL14 model (Fig. 1A, B), referred to as contrastively-clustered attention-based multiple instance learning (CAMIL) regression. We tested the abilities of…