As he grew up in Bogotá, Colombia, Mateo Dulce Rubio would hear a familiar news story every few days—someone had stepped on another landmine. The explosion had killed or injured them. Though the capital city was far from the country’s war-torn areas, these accidents stayed in the back of his mind.
Palantir and Edgescale AI Join Forces This post contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements may relate to, but are not limited to, Palantir’s expectations regarding the amount and the terms of …
This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Adrian Boeh, Senior Data Scientist – NAM AI, from Schneider Electric. Schneider Electric is a global leader in the digital transformation of energy management and automation. The company specializes in providing integrated solutions that make energy …
Retrieval Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs) by grounding them in external knowledge sources. This blog post looks into a common challenge in RAG implementations: achieving high-quality semantic search. We’ll explore why traditional similarity search often falls short, and how new “task type” embeddings in Vertex AI offer …
Read more “Enhancing your gen AI use case with Vertex AI embeddings and task types”
For developers building products atop the company’s AI models and frameworks, this is probably welcome news.Read More
Behold, my new flying machine: this table attached to a bird.
Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some areas while completely neglecting others. But if you give them a strategy, like spreading out uniformly …
Read more “How AI is improving simulations with smarter sampling techniques”
Here are five brands whose content programs are leading the way in the new era of content marketing.
LightGBM is a highly efficient gradient boosting framework. It has gained traction for its speed and performance, particularly with large and complex datasets. Developed by Microsoft, this powerful algorithm is known for its unique ability to handle large volumes of data with significant ease compared to traditional methods. In this post, we will experiment with …
Read more “Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS”
Cybersecurity threats are becoming increasingly sophisticated and numerous. To address these challenges, the industry has turned to machine learning (ML) as a tool for detecting and responding to cyber threats. This article explores five key ML models that are making an impact in cybersecurity threat detection, examining their applications and effectiveness in protecting digital assets. …
Read more “Industries in Focus: Machine Learning for Cybersecurity Threat Detection”