Google unveils new open-source customary for agentic commerce
Google has introduced a brand new open-source customary for agentic commerce known as the Common Commerce Protocol (UCP).
Developed in collaboration with plenty of commerce firms, together with Shopify, Etsy, Wayfair, Goal, and Walmart, UCP establishes a typical language and primitives for the commerce journey between client surfaces, companies, and fee suppliers.
“As customers embrace conversational experiences, they count on seamless transitions from brainstorming and analysis to closing buy. Which means it’s essential to help real-time stock checks, dynamic pricing, and on the spot transactions, all throughout the consumer’s present conversational context,” Google wrote in a weblog publish.
Newly redesigned Slackbot is now usually accessible
Salesforce introduced that the newly redesigned Slackbot is now usually accessible, providing customers an out-of-the-box AI agent that lives inside Slack.
“By bringing the total energy of the Agentic Enterprise the place billions of office conversations already occur each week, working with enterprise-grade AI turns into as pure as speaking to a coworker,” Salesforce wrote in an announcement.
In response to Salesforce, Slackbot leverages context inside Slack and linked instruments to assist discover solutions, arrange work, create content material, schedule conferences, and take motion.
Kaggle introduces Group Benchmarks to permit for customized evaluations of AI fashions
Kaggle has introduced that it now gives Group Benchmarks, enabling AI practitioners to design, run, and share their very own benchmarks for evaluating AI fashions.
Kaggle is a group platform run by Google that gives fashions and assets for information scientists and machine studying practitioners. Final yr, it had launched Kaggle Benchmarks to supply evaluations from analysis teams, akin to Meta’s MultiLoKo and Google’s FACTS suite benchmarks.
This newest announcement extends this to the group as an entire, permitting them to create benchmarks particular to their very own use instances. In response to Google, AI capabilities are evolving so rapidly that the present methods of benchmarking and evaluating them aren’t in a position to sustain. With Group Benchmarks, the corporate hopes to bridge this hole and supply a extra versatile and clear framework for analysis.
Copilot Studio Extension now accessible in VS Code
Microsoft has introduced the final availability of its Copilot Studio Extension for Visible Studio Code.
The extension permits builders to construct and handle Copilot Studio brokers straight from inside their IDE.
In response to Microsoft, the extension is helpful as a result of builders have to have related controls and processes when growing brokers as they do for different purposes: supply management, pull requests, change historical past, and repeatable deployments.
Field Extract intelligently pulls info from unstructured content material to assist with workflow automation
Field introduced the launch of Field Extract, which intelligently pulls info from content material and saves it as metadata, serving to organizations automate workflows and speed up decision-making by making info extra simply accessible.
In response to the corporate, numerous organizational data lives in contracts, product specs, coverage paperwork, charts, and different kinds of unstructured content material. Field Extract makes use of agentic capabilities and AI fashions from Google, Anthropic, and OpenAI to precisely extract this info.
Field defined that legacy instruments usually focus solely on extracting textual content, whereas Field Extract understands doc construction and which means. It breaks the doc down into parts like paragraphs, tables, and charts, after which pulls out vital info from these parts.
Google releases TranslateGemma
TranslateGemma is a set of open translation fashions constructed on Gemma 3. They had been educated and evaluated on 55 language pairs, and had been moreover educated on nearly 500 language pairs as a place to begin for researchers regardless that they haven’t been evaluated but.
In response to Google, TranslateGemma considerably reduces error charges in translation in comparison with baseline Gemma fashions alone.
The 4B mannequin is optimized for cell and edge deployment, the 12B mannequin is optimized for client laptops, and the 27B is designed for max constancy and may run on one thing like a single H100 GPU or TPU within the cloud.