Our system did one thing, and it did it well: It turned natural-language questions into API calls.The users were analysts, account managers, and operations leads. They knew what data they needed, but assembling it manually meant pulling from four dashboards, two BI tools, and a Salesforce report builder. With our system, they typed the request in plain English. A request like "Compile a report on sales volume for January through... Read more ›
0
One of the defining features is its native long-context capability, with a maximum length of 512,000 tokens, 2X OpenAI's GPT-5 family. Read more ›
21
CodeSignal Inc., the San Francisco-based skills assessment platform trusted by Netflix, Meta, and Capital One, launched Cosmo on Wednesday, a mobile learning application that transforms spare minutes into career-ready skills through artificial intelligence-powered micro-courses. The app represents a strategic pivot for CodeSignal, which built its reputation assessing technical talent for major corporations but always harbored […] Read more ›
0
Researchers from Inclusion AI and Ant Group proposed a new LLM leaderboard that takes its data from real, in-production apps. Read more ›
0
Chain-of-Thought isn't a plug-and-play solution. For developers, this research offers a blueprint for LLM testing and strategic fine-tuning. Read more ›
21
China's DeepSeek has released a 685-billion parameter open-source AI model, DeepSeek V3.1, challenging OpenAI and Anthropic with breakthrough performance, hybrid reasoning, and zero-cost access on Hugging Face. Read more ›
39
Enterprise data catalogs are evolving into conversational AI agents that leverage metadata awareness to improve query accuracy. Read more ›
2
Qwen-Image-Edit caters to professionals who need control while remaining approachable for casual experimentation. Read more ›
0
Keychain states it's currently being used by top CPG brands and food retailers including 7-Eleven, Whole Foods, and General Mills. Read more ›
0
SAP'S Yaad Oren and Agilent's Raj Jampa discuss how to deploy agentic AI while staying inside cost, latency, and compliance guardrails. Read more ›
4
Developers are free to create and distribute derivative models. Importantly, Nvidia does not claim ownership of any outputs generated... Read more ›
6
Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder. Read more ›
33
Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language. Read more ›
37
TensorZero raises $7.3 million to build an open-source AI infrastructure stack that helps enterprises scale and optimize large language model (LLM) applications with unified tools for observability, fine-tuning, and experimentation. Read more ›
54
The future will arrive with or without our guardrails. We must design AI’s structures now for a future of abundance rather than disruption. Read more ›
36
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI. Read more ›
17
Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried. Read more ›
21
New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments. Read more ›
78
While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI. Read more ›
104
For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned. Read more ›
25
Anthropic launches learning modes for Claude AI that guide users through step-by-step reasoning instead of providing direct answers, intensifying competition with OpenAI and Google in the booming AI education market. Read more ›
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13.06.2026 20:03
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