Den tomma raden som prompt fungerar genom att utnyttja AI:ns naturliga förmåga att förutsäga och slutföra meningar. Metoden kan användas för praktiska uppgifter som packning, … Read More
Discover how Langfuse offers secure, open-source monitoring for LLM and GenAI solutions.
No shocker here: You have to make decisions in work and in life. It would seem the choices you make get harder and have bigger, … Read More
More women are turning to ChatGPT for emotional support, using the AI chatbot as a stand-in therapist as mental health systems buckle under pressure. With … Read More
The process of data annotation and labeling plays a critical role in the supervised training of large language models and other types of data-driven machine-learning … Read More
August 21, 2021 Vasilis Vryniotis . No comments I’m starting a new blog post series about the development of PyTorch’s computer vision library. I plan … Read More
It feels like every other AI announcement lately mentions “agents.” And already, the AI community has 2025 pegged as “the year of AI agents,” sometimes … Read More
Microsoft har precis släppt forskningsresultat som visar att deras nya AI-system kan diagnostisera komplexa medicinska fall betydligt bättre än erfarna läkare. Det här är en stor nyhet … Read More
Introduction “こだまでしょうか、いいえ、誰でも。” (Kodama deshou ka, iie, dare demo.) Translated literally, it reads: “Is it an echo? No, it’s anyone.” But for native Japanese speakers, this … Read More
In today’s rapidly evolving digital landscape, financial institutions are increasingly recognising the critical need to modernise their data infrastructure. For many, the choice is no longer whether to modernise, but how to do so effectively. Aging legacy systems, once the backbone of operations, are now costly to maintain and inefficient in meeting the complex data demands of today’s financial markets. These outdated systems trap valuable data within organisational silos, leaving what could be transformative insights untapped.