A team of math and AI researchers at Microsoft Asia has designed and developed a small language model (SLM) that can be used to solve math problems. The group has posted a paper on the arXiv preprint server outlining the technology and math behind the new tool and how well it has performed on standard …
Read more “Microsoft introduces rStar-Math, an SLM for math reasoning and problem solving”
Howdy! I was a bit late for this, but the holidays got the best of me. Too much Eggnog. My apologies. This thread is the perfect place to share your one off creations without needing a dedicated post or worrying about sharing extra generation data. It’s also a fantastic way to check out what others …
Large language models (LLMs) are useful for many applications, including question answering, translation, summarization, and much more, with recent advancements in the area having increased their potential.
A Private Repetition algorithm takes as input a differentially private algorithm with constant success probability and boosts it to one that succeeds with high probability. These algorithms are closely related to private metaselection algorithms that compete with the best of many private algorithms, and private hyperparameter tuning algorithms that compete with the best hyperparameter settings …
Read more “Privacy-Computation Trade-offs in Private Repetition and Metaselection”
Digital lending is a critical business enabler for banks and financial institutions. Customers apply for a loan online after completing the know your customer (KYC) process. A typical digital lending process involves various activities, such as user onboarding (including steps to verify the user through KYC), credit verification, risk verification, credit underwriting, and loan sanctioning. …
Read more “Build an Amazon Bedrock based digital lending solution on AWS”
Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be a barrier for many developers and enterprises to “productionize” AI. This is where retrieval-augmented generation (RAG) becomes non-negotiable – it strengthens your …
Read more “Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence”
A new orchestration architecture from LlamaIndex brings more context and decision-making capabilities to AI agents.Read More
With wind speeds falling, firefighting reinforcements arriving from out of state, and more water sources online, authorities now have a critical window to take control of the situation.
AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder.
Filling gaps in data sets or identifying outliers—that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This artificial intelligence (AI) uses learning methods inspired by large language models. TabPFN learns causal relationships from synthetic data and is therefore more likely …