Are you looking to showcase your brand in front of the gaming industry’s top leaders? Learn more about GamesBeat Summit sponsorship opportunities here. It makes a lot of sense to put AI as far out on the edge of the network as possible, as it can solve problems for people like first responders and reduce […]
In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Lisa Cohen, Google's Director of Data Science and Engineering, to discuss the capabilities of the cutting-edge Gemini Ultra LLM and how it stands toe-to-toe with GPT-4.
Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here. In a stunning turn of events, Sam Altman, the high-profile CEO of OpenAI, will be rejoining the company’s board of directors just months after being ousted amid concerns about his leadership. The move comes as […]
In this contributed article, technical leader Kamala Manju Kesavan believes it is essential to periodically reassess your database strategy to ensure that it continues to meet your organization's evolving requirements. If migrating to another database solution is deemed necessary, approach the process methodically, leveraging best practices and stakeholder collaboration to maximize success and drive business value.
The problem of search relevance in the E-commerce domain is a challenging one since it involves understanding the intent of a user’s short nuanced query and matching it with the appropriate products in the catalog. This problem has traditionally been addressed using language models (LMs) and graph…
Accurate sell-in and sell-out forecasting is a ubiquitous problem in the retail industry. It is an important element of any demand planning activity. As a global food and beverage company, Nestle´ has hundreds of products in each geographical location that they operate in. Each product has its…
Abacaus AI tested the uncensored LLM on MT-Bench and found it performs slightly better than the best open-source model on the HumanEval leaderboard – Qwen1.5-72B chat.
In this contributed article, George Davis, founder and CEO of Frame AI, howlights how we find ourselves at an early, crucial stage in the AI R&D lifecycle. Excitement over AI’s potential is dragging it into commercial development well before reliable engineering practices have been established. Architectural patterns like RAG are essential in moving from theoretical models to deployable solutions.
⏩ Google розповів про результати роботи у боротьбі зі спамом та шахрайством на Google Maps та у локальному пошуку. У 2023 році було заблоковано або видалено... - Seoukraine.com.ua
Singapore’s AI Edge In the space of nine months, Google Cloud’s Caroline Yap has held over one thousand meetings with C-suite officers and boards of directors about generative AI. In her role as Managing Director of Global AI Business and Applied Engineering at Google Cloud, she sat down with VentureBeat to talk about the speed […]
Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these inno
While it remains to be seen how well StarCoder2 models perform in different coding scenarios, the companies did note that the performance of the smallest 3B model alone matched that of the original 15B StarCoder LLM.