Engineering posts about Machine Learning
Curated summaries and key learnings for engineers working with Machine Learning.
AI readiness in telecommunications
The article explores the paradox of AI adoption in telecommunications, where despite high executive interest, many initiatives fail to scale due to issues surrounding data quality and governance. It...
How Databricks Genie democratizes data access in financial services
The article explores how Databricks Genie facilitates data democratization in financial services by enabling business users to query data using natural language. It highlights the challenges faced by...
Accelerating LLM Inference with Prompt Caching for Open‑Source Models on Databricks
The article outlines the significance of prompt caching in accelerating inference for large language models (LLMs) on Databricks. It explains how repeated prompts can lead to inefficiencies in...
Pharma launch analytics: How to compress the first 90 days and win the three years that follow
The article outlines the critical importance of compressing the decision-making cycle during pharmaceutical product launches, emphasizing the need for real-time analytics to enhance commercial...
Agent Fabric Context Catalog and the Future of AI Governance
The article explores the challenges of AI governance in the context of modern autonomous agents that operate beyond traditional application boundaries. It highlights the integration of Salesforce's...
Making User-Sequence Data More Cost-Efficient, Faster, and Easier to Use
This article discusses the redesign of a user-sequence platform aimed at improving the efficiency, speed, and usability of user data for machine learning applications. It addresses the challenges...
From "What Happened?" to "What Will Happen?"
The article explores the integration of Databricks Genie and TabPFN to enhance predictive analytics within business intelligence frameworks. It highlights how Genie translates natural language...
Transforming industries with conversational AI: Partner solutions built on Databricks Genie
The article explores the transformative impact of conversational AI through Databricks Genie, which addresses the 'Analyst Bottleneck' by enabling users to interact with data using natural language....
Introducing Nova, our internal platform for coding agents
The article introduces Nova, an internal platform developed by Dropbox to enhance the efficiency of coding agents in software development. It outlines how Nova integrates AI to assist engineers in...
Announcing ADK for Kotlin and ADK for Android 0.1.0: Building AI Agents on Android and Beyond
The article announces the release of version 0.1.0 of the Agent Development Kit (ADK) for Kotlin and Android, enabling developers to create AI agents with enhanced capabilities for both on-device and...
Databricks for Good and Virtue Foundation: Partnering to Connect Medical Volunteers to Critical Health Services in 72 Countries
The article outlines the collaboration between Databricks for Good and the Virtue Foundation to enhance global health delivery through an AI-enabled platform. The initiative focuses on aggregating...
How We Built DigitalOcean Inference Router
This article details the development and functionality of DigitalOcean's Inference Router, a system designed to optimize AI model selection based on specific task requirements. It highlights the...
How to safeguard AI workloads with Unity AI Gateway Guardrails
The article outlines the importance of implementing guardrails in AI applications to protect sensitive information and ensure compliance with security standards. It details how Unity AI Gateway...
Databricks context engineer associate: the industry’s first certification for reliable AI agent systems
The article introduces the Databricks Certified Context Engineer Associate certification, the first of its kind aimed at enhancing the reliability of AI agent systems through effective context...
How Databricks Genie improves supply chain visibility with real-time AI analytics
The article outlines how Databricks Genie addresses the challenges of supply chain visibility by leveraging real-time AI analytics to synthesize data from various sources. Traditional supply chain...
How Salesforce Built an AI Security Agent for Autonomous Threat Triage
The article outlines how Salesforce developed the SATA agent, an AI-driven system designed to enhance cybersecurity by autonomously triaging threats across complex environments. It highlights the...
Blazing fast on-device GenAI with LiteRT-LM
The article provides an in-depth exploration of LiteRT-LM, an advanced framework for deploying the Gemma 4 model across various platforms, including Android, iOS, and web environments. It highlights...
One Year of Innovation: Celebrating 100k Members in the Google Cloud x NVIDIA Developer Community
The article celebrates the one-year anniversary of the Google Cloud and NVIDIA developer community, highlighting its growth to 100,000 members. It emphasizes the importance of bridging AI...
Google Tensor SDK Beta with LiteRT
The Google Tensor ML SDK has transitioned from an Experimental Access Program to Beta, enabling developers to leverage the capabilities of the Google Tensor System-on-Chip (SoC) and its dedicated...
Project Glasswing: what Mythos showed us
The article details the experiences of testing Mythos Preview, an advanced security-focused large language model (LLM) developed by Anthropic, as part of Project Glasswing. It highlights the model's...