GenAI

Google Gemini Cheat Sheet (Formerly Google Bard): What Is Google Gemini, and How Does It Work?)

Google Gemini Cheat Sheet (Formerly Google Bard): What Is Google Gemini, and How Does It Work?)

Gemini is Google’s artificial intelligence ecosystem, including a chatbot that generates responses to user-provided natural language prompts. In response to a prompt, Gemini can pull information from the internet and present a response. The large language model behind Gemini delivers the response in natural language — in contrast to a standard Google search, where a result consists of a snippet of information or a list of links. Google announced Gemini (as Bard) in February 2023 after OpenAI and Microsoft both garnered attention for AI chatbot systems. And in May 2023, AI advancements featured prominently in Google’s I/O event. On Feb.…
Read More
Cats purrfectly demonstrate what it takes to trust robots

Cats purrfectly demonstrate what it takes to trust robots

Would you trust a robot to look after your cat? New research suggests it takes more than a carefully designed robot to care for your cat, the environment in which they operate is also vital, as well as human interaction. Cat Royale is a unique collaboration between Computer Scientists from the University of Nottingham and artists at Blast Theory who worked together to create a multispecies world centred around a be-spoke enclosure in which three cats and a robot arm coexist for six hours a day during a twelve-day installation as part of an artist-led project. The installation was launched…
Read More
How the Foundation Model Transparency Index Distorts Transparency

How the Foundation Model Transparency Index Distorts Transparency

Stanford’s Center for Research on Foundation Models (CRFM) recently released a new piece of work called the Foundation Model Transparency Index (FMTI), which sets out to score all large language models (LLMs) on the different aspects of transparency around building and deploying a model. Work on understanding the transparency of LLMs is crucial to building trust and creating realistic evaluation standards for this extremely powerful technology. However, the FMTI makes many claims that are misleading concerning both the spirit and facts around transparency of LLMs, and is detrimental to recent progress in transparency. Our core issues are: The FMTI misleadingly…
Read More

ArXiv Pre-Print “Evaluating AI Systems under Uncertain Ground Truth: a Case Study in Dermatology” • David Stutz

ArXiv Pre-Print “Evaluating AI Systems under Uncertain Ground Truth: a Case Study in Dermatology” In supervised machine learning, we usually assume access to ground truth label for evaluation. In many applications, however, these ground truth labels are derived from expert opinions. Disagreement among these experts is typically ignored using simple majority voting or averaging. Unfortunately, this can have severe consequences by over-estimating performance or mis-guiding model selection. In our work presented in this article, we tackle this problem by introducing a statistical framework for aggregating expert opinions. Abstract For safety, AI systems in health undergo thorough evaluations before deployment, validating…
Read More
PeerDB raises $3.6M to accelerate PostgreSQL data movement – SiliconANGLE

PeerDB raises $3.6M to accelerate PostgreSQL data movement – SiliconANGLE

Startup PeerDB Inc., which has built a data movement platform specifically for open-source PostgreSQL database management systems, said today it has closed on a seed funding round worth $3.6 million. Leading the investment was 8VC, and it was joined by Y Combinator, Wayfinder Ventures, Webb Investment Network, Flex Capital, Rogue Capital, Pioneer Fund, Orange Collective and several angel investors. PeerDB says its data movement platform is designed to improve on the capabilities of existing data pipelines that were never designed for Postgres databases. Existing data movement and extract, transform and load or ETL tools often prioritize the sheer number of connectors…
Read More
AI Seoul Summit: 4 Key Takeaways on AI Safety Standards and Regulations

AI Seoul Summit: 4 Key Takeaways on AI Safety Standards and Regulations

The AI Seoul Summit, co-hosted by the Republic of Korea and the U.K., saw international bodies come together to discuss the global advancement of artificial intelligence. Participants included representatives from the governments of 20 countries, the European Commission and the United Nations as well as notable academic institutes and civil groups. It was also attended by a number of AI giants, like OpenAI, Amazon, Microsoft, Meta and Google DeepMind. The conference, which took place on May 21 and 22, followed on from the AI Safety Summit, held in Bletchley Park, Buckinghamshire, U.K. last November. One of the key aims was…
Read More
AI poised to usher in new level of concierge services to the public

AI poised to usher in new level of concierge services to the public

Concierge services built on artificial intelligence have the potential to improve how hotels and other service businesses interact with customers, a new paper suggests. In the first work to introduce the concept, researchers have outlined the role an AI concierge, a technologically advanced assistant, may play in various areas of the service sector as well as the different forms such a helper might embody. Their paper envisions a virtual caretaker that, by combining natural language processing, behavioral data and predictive analytics, would anticipate a customer's needs, suggest certain actions, and automate routine tasks without having to be explicitly commanded to…
Read More

Extending the RoPE

Rotary Position Embedding (RoPE) is an effective position-encoding technique first introduced in Su et al. (2020) [1] and later popularized in open-source models such as GPT-J, GPT-NeoX, PaLM, LLaMA, etc. We covered the mathematics and the implementation details of RoPE in this blog post about 2 years ago. Although the RoPE is limited by its pretrained context size, we will summarize a line of research that manages to extend the context length of the RoPE so that a pretrained language model can be easily adapted to fit the increasingly challenging tasks being given to LLMs. Given a sequence of tokens…
Read More

TMLR Paper “Conformal Prediction under Ambiguous Ground Truth” • David Stutz

Conformal prediction uses a held-out, labeled set of examples to calibrate a classifier to yield confidence sets that include the true label with user-specified probability. But what happens if even experts disagree on the ground truth labels. Commonly, this is resolved by taking the majority voted label from multiple expert. However, in difficult and ambiguous tasks, the majority voted label might be misleading and a bad representation of the underlying true posterior distribution. In this paper, we introduce Monte Carlo conformal prediction which allows to perform conformal calibration directly against expert opinions or aggregate statistics thereof. Abstract Conformal Prediction (CP)…
Read More
Sophisticated data management tools: PwC’s tax and sustainability key – SiliconANGLE

Sophisticated data management tools: PwC’s tax and sustainability key – SiliconANGLE

Integrating tax and sustainability with advanced data management tools is transforming traditional business practices into strategic front-office functions. Leveraging data is critical, especially in the current highly regulated environment. PricewaterhouseCoopers International Ltd. is addressing this need by providing sophisticated data management tools to maximize business ROI, according to Justin Femmer (pictured, left), data automation and governance leader at PwC US. “Most companies’ tax functions and sustainability functions are looking to become more strategic,” Femmer said. “They don’t just want to be a back office. They want to move to the front office, so to speak. They want to be involved…
Read More
No widgets found. Go to Widget page and add the widget in Offcanvas Sidebar Widget Area.