AI-driven ETFs are revolutionizing the world of passive investing. Traditional ETFs allow investors to diversify portfolios without active management, but AI-enhanced ETFs bring innovation by…
President Trump has now signed the Take It Down Act, criminalizing sexual deepfakes at a federal level in the US. At the same time, the CivitAI community’s bid to ‘clean up its act’ regarding NSFW AI and celeb output has ultimately failed to…
Two members of the Extropian community, internet entrepreneurs Brian and Sabine Atkins—who met on an Extropian mailing list in 1998 and were married soon after—were so taken by this message that in 2000 they bankrolled a think tank for…
Almost no one hits it big in music. The odds are so bad it’s criminal. But on a late spring evening in Louisville, Kentucky, Mike Smith and Jonathan Hay were having that rare golden moment when everything clicks. Smith was on guitar. Hay was…
Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This initiative seeks to lower the…
Fine-tuning LLMs often requires extensive resources, time, and memory, challenges that can hinder rapid experimentation and deployment. Unsloth AI revolutionizes this process by enabling fast, efficient fine-tuning state-of-the-art…
Google has officially rolled out the NotebookLM mobile app, extending its AI-powered research assistant to Android devices. The app aims to bring personalized learning and content synthesis directly to users’ pockets by…
While RAG enables responses without extensive model retraining, current evaluation frameworks focus on accuracy and relevance for answerable questions, neglecting the crucial ability to reject unsuitable or unanswerable requests….
As autonomous AI agents move from theory into implementation, their impact on the financial services sector is becoming tangible. A recent whitepaper from IBM Consulting, titled “Agentic AI in Financial Services: Opportunities,…
Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of large language models (LLMs). The idea is simple: if a model explains its answer step-by-step, then those steps…