Clik here to view.
Redis Launches Vector Sets and a New Tool for Semantic Caching of LLM Responses
Redis, the company behind the eponymous in-memory key-value database, mostly made news in recent months because of its license change, which resulted in the launch of the Valkey project. Now, Redis is...
View ArticleClik here to view.
Why Use a NoSQL Database for AI? There Are Many Great Reasons
With AI increasingly becoming table stakes for organizations, let’s dig into the role NoSQL databases play in facilitating AI adoption, and why a flexible developer data platform with memory,...
View ArticleClik here to view.
AI Data Dilemma: Balancing Innovation with Ironclad Governance
In a landscape where data privacy regulations are increasingly stringent and AI models demand access to vast, diverse datasets, traditional security frameworks fall short. And from multinational...
View ArticleClik here to view.
Google’s Agent2Agent Protocol Helps AI Agents Talk to Each Other
At its Cloud Next conference in Las Vegas, Google today announced a new open protocol that helps AI agents communicate with each other, no matter which framework the agent was built for. Agent2Agent,...
View ArticleClik here to view.
Apache Ray Finds a Home on the Google Kubernetes Engine
LAS VEGAS — In its ongoing efforts to make Kubernetes the de facto platform for large-scale AI/machine learning (ML) workloads, Google has struck up a partnership with Anyscale to offer a hosted...
View ArticleClik here to view.
Google’s ADK Is a New Open Source Framework for Building Multiagent Systems
LAS VEGAS — Google today launched the Agent Development Kit (ADK), a new open source framework for building multiagent systems. This is the same framework that enables Google Agentspace, the company’s...
View ArticleClik here to view.
Breakthrough: LLM Traces Outputs to Specific Training Data
Finally, AI can fact-check itself. One large language model-based chatbot can now trace its outputs to the exact original data sources that informed them. Developed by the Allen Institute for...
View ArticleClik here to view.
Google Kubernetes Engine Customized for Faster AI Work
LAS VEGAS — Google Cloud is gearing up for massive AI workloads, and is using Kubernetes as the platform to make it happen. This week, during the company’s Google Cloud Next conference in Las Vegas,...
View ArticleClik here to view.
Ironwood: Google’s Answer to Nvidia in the AI Chip Wars
Hallucinations apart, customers in the past complained of Google’s Gemini being slow, especially with larger contexts and token counts. To solve that problem, the company announced it was building...
View ArticleClik here to view.
Three AI-Assisted Development Skills You Can Start Using Today
Things are changing fast in AI, as if developers didn’t have enough to keep up with. The New Stack recently spoke with Antje Barth, the principal developer advocate for generative AI (GenAI) at Amazon...
View ArticleClik here to view.
Code in Your Native Tongue: Amazon Q Developer Goes Global
In a significant move toward AI democratization, Amazon Web Services (AWS) this week announced that Amazon Q Developer — its AI-powered coding assistant — now supports multiple spoken languages beyond...
View ArticleClik here to view.
New Laravel-Related Offerings Include Octane Alternative
There were big Laravel-related announcements this week. First, the Laravel team has released Laravel Wayfinder in beta. It’s a new package to bridge the gap between a TypeScript frontend and a Laravel...
View ArticleClik here to view.
Build Scalable LLM Apps With Kubernetes: A Step-by-Step Guide
Large language models (LLMs) like GPT-4 have transformed the possibilities of AI, unlocking new advancements in natural language processing, conversational AI and content creation. Their impact...
View ArticleClik here to view.
Four New Areas Where AI Is Transforming Software Development
AI is driving significant gains in software development productivity, code quality and innovation. As technology leaders navigate this new landscape, many are still determining how to target future...
View ArticleClik here to view.
Q&A: How Google Itself Uses Its Gemini Large Language Model
This year, a great number of announcements came out at Google Next Conference, and perhaps not surprisingly, many were related to new developments around AI. So we were curious: Were all the AI...
View ArticleClik here to view.
Year of AI Utility: Moving From Early Wins to Long-Term Value
AI pilot projects tied to an expanding number of use cases are proving themselves and moving into production. While challenges are ever-present, we’re no longer at the point of asking whether AI has...
View ArticleClik here to view.
Frontend Gets Smarter: AI’s JavaScript Revolution
JavaScript, the lingua franca of the web, has long been the backbone of interactive experiences. But now, with the explosive advancements in AI, it’s stepping into a new role: the brain behind the...
View ArticleClik here to view.
Seven Habits of Highly Effective AI Coding
In the past year, AI coding has gone from novelty to necessity. However, much of the conversation around AI coding focuses on vibe coding within relatively “de novo” use cases. There is no question...
View ArticleClik here to view.
AI at the Edge: Federated Learning for Greater Performance
The classical machine learning paradigm requires the aggregation of user data in a central location where data scientists can pre-process it, calculate features, tune models and evaluate performance....
View ArticleClik here to view.
Slopsquatting: The Newest Threat to Your AI-Generated Code
Software developers are increasingly using AI to create code, a trend that’s not surprising given the increasing demands put on them to build products and get them out the door faster. A study last...
View Article