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Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today’s semantic search, recommendation engines, anti-fraud measures and gen AI applications across industries. There are a deluge of options: PostgreSQL with pgvector, MySQL HeatWave, DuckDB VSS, SQLite VSS, Pinecone, Weaviate, Milvus and several others. The riches …

Abstract or die: Why AI enterprises can’t afford rigid vector stacks Read More »

Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI’s ChatGPT, Anthropic’s Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps. This addition allows developers to connect Google’s Gemini AI models’ reasoning capabilities with live …

Developers can now add live Google Maps data to Gemini-powered AI app outputs Read More »

For many software developers using generative AI, vibe coding is a double-edged sword. The process delivers rapid prototypes but often leaves a trail of brittle, undocumented code that creates significant technical debt. A new open-source platform, Codev, addresses this by proposing a fundamental shift: treating the natural language conversation with an AI as part of …

Codev lets enterprises avoid vibe coding hangovers with a team of agents that generate and document code Read More »

Cisco executives make the case that the distinction between product and model companies is disappearing, and that accessing the 55% of enterprise data growth that current AI ignores will separate winners from losers. VentureBeat recently caught up with Jeetu Patel, Cisco’s President and Chief Product Officer and DJ Sampath, Senior Vice President of AI Software …

Cisco warns enterprises: Without tapping machine data, your AI strategy is incomplete Read More »

AI models are only as good as the data they’re trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One of the big missing links in the AI ecosystem has been the availability of a large high-quality open-source multimodal dataset. That changes …

World’s largest open-source multimodal dataset delivers 17x training efficiency, unlocking enterprise AI that connects documents, audio and video Read More »

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are “non-deterministic.” That is, despite their reputation among some critics as being “fancy autocorrect,” generative AI models actually generate their outputs by choosing from a distribution of the most probable next tokens …

Researchers find adding this one simple sentence to prompts makes AI models way more creative Read More »

When Walmart and OpenAI announced that the retailer would integrate with ChatGPT, the question became how quickly OpenAI could deliver on the promise of agents buying things for people. In the battle of AI-enabled commerce, getting agents to securely complete transactions is one of the biggest hurdles.  More and more, chat platforms like ChatGPT are …

Google vs. OpenAI vs. Visa: competing agent protocols threaten the future of AI commerce Read More »

Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap forward in the power and utility of AI models. The word “agent” has been used in different ways, …

Under the hood of AI agents: A technical guide to the next frontier of gen AI Read More »

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automatically populates and modifies the context window of large language model (LLM) applications by treating it as an “evolving playbook” that creates and refines strategies as the agent gains …

ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents Read More »

The Dfinity Foundation on Wednesday released Caffeine, an artificial intelligence platform that allows users to build and deploy web applications through natural language conversation alone, bypassing traditional coding entirely. The system, which became publicly available today, represents a fundamental departure from existing AI coding assistants by building applications on a specialized decentralized infrastructure designed specifically …

Dfinity launches Caffeine, an AI platform that builds production apps from natural language prompts Read More »