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#agenticai

38 posts31 participants5 posts today
Continued thread

Die Grundidee bleibt faszinierend:
Eine agentische KI, die ihre eigene Codebasis kennt, strukturiert vorgeht, Rückmeldungen aus der Code-Ausführung einbezieht und dadurch komplexen Code Schritt für Schritt erzeugt.

Nur leider:
Am Ende läuft’s nicht.
Und die KI wirkt mit jedem Schritt ein kleines bisschen dümmer.

"Early examples show agents autonomously managing calendars, retrieving emails, and summarizing meetings via APIs. But that’s just the beginning. From healthcare to insurance, and logistics to customer service, transformative agentic AI use cases are starting to emerge.

“By combining LLMs with robust tool integration, APIs enable agents to act as operational hubs,” says Sutherland’s Gilbert. In insurance, for instance, APIs can inform autonomous claims processing engines that extract data from external documents, validate claims against policy terms, detect fraud, and process outcomes with minimal human input.

AI agents can make unprecedented optimizations on the fly using APIs. Gartner reports that PC manufacturer Lenovo uses a suite of autonomous agents to optimize marketing and boost conversions. With the oversight of a planning agent, these agents call APIs to access purchase history, product data, and customer profiles, and trigger downstream applications in the server configuration process.

“The real transformation will come in areas like finance, warehouse management, logistics, and scheduling, where workflows are complex and traditionally hard to optimize,” says Fox. APIs could even reduce the need for bloated ERP platforms by replacing them with specialized services, cutting costs and complexity."

cio.com/article/4018578/why-ci

CIOWhy CIOs see APIs as vital for agentic AI successToday's AI is all talk. Tomorrow's will tap APIs to drive real action.

Just announced by #Docker: Docker Offload enables you to run container setups (incl compose!) in the cloud, right from your dev machine. They position this for AI in particular since there's support for GPU acceleration - together with models in compose files, MCP support etc this is very exciting! docker.com/products/docker-off #AgenticAI #DockerOffload #AI

The Docker logo on a blue wave patterned background.
Docker · Docker Offload: Supercharging Cloud-Native Development | DockerBuild, test, and scale resource-intensive models by moving AI workloads to the cloud with Docker Offload. All while accessing high-performance GPUs without leaving your local workflow.
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My teams use Cursor, and I see the value in #LLM assistants for code contributions. I see the value in contextual documentation lookups, I see the value in debugging assistance, I see the value in getting suggestions for improvement on specific lines.
But for “#AgenticAI” that will autonomously code anything close to useful, or LLMs that make anyone productive on a codebase they don't know: those who have reviewed code daily for years try to come up with ways to block such contributions.

LG CNS, in partnership with Cohere, has developed a 1.11 billion-parameter inference-based LLM that outperforms GPT-4o in Korean and English, targeting the agentic AI market and enabling secure on-premises deployment for enterprise clients.
#YonhapInfomax #LGCNS #Cohere #LargeLanguageModel #AgenticAI #InferencePerformance #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
en.infomaxai.com/news/articleV

Yonhap Infomax · LG CNS Develops Inference-Based Large Language Model to Target 'Agentic AI' Market
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