Meta has launched Kernelllm, an 8 billion parameter language model fine-tuned from Llama 3.1 instructions, aiming to automate the translation of Pytorch modules into an efficient...
Fine-tuning LLM often requires a wide range of resources, time and memory, which can hinder rapid experimentation and deployment. Unsploth AI revolutionizes this process by enabling...
Google officially launches Notebooklm mobile appextending its AI-powered research assistant to Android devices. The app aims to bring personalized learning and content synthesis directly to the...
While RAGs can respond without extensive model retraining, the current evaluation framework will focus on the accuracy and relevance of answerable questions, ignoring the critical ability...
As autonomous AI agents move from theory to implementation, their impact on the financial services sector becomes increasingly tangible. IBM Consulting’s latest white paper titled “Agent...
Chain of thought (COT) hints have become a popular way to improve and interpret the inference process of large language models (LLMS). The idea is simple:...
Recent developments have shown that RL can significantly enhance LLM’s reasoning capabilities. Building on this progress, the study aims to improve audio LLM, i.e., process audio...
The ability to search for high-dimensional vector representations has become a core requirement of modern data systems. These vector representations, generated by deep learning models, encapsulate...
Cloud computing has come a long way, and the next generation will be used very differently than when Root was first used 20 years ago. With...
It’s no secret that software is a part of our daily lives. We use it to maintain schedules, connect with friends and family, manage our finances...