Generative Vision-Language Models (VLMs) are prone to generate plausible-sounding textual answers that, however, are not always grounded in the input image. We investigate this phenomenon, usually referred to as “hallucination” and show that it stems from an excessive reliance on the language…
Tokenizing time series data and treating it like a language enables a model whose zero-shot performance matches or exceeds that of purpose-built models.
Productiv launches Sidekick, an AI-powered assistant that streamlines SaaS management, optimizes software spend, and empowers IT leaders with actionable insights through natural language queries.
How can we effectively generate missing data trans-formations among tables in a data repository? Multiple versions of the same tables are generated from the iterative process when data scientists and machine learning engineers fine-tune their ML pipelines, making incremental improvements. This…
Proscia raises $9M in Series C extension and secures FDA clearance to accelerate the adoption of AI-powered digital pathology for life sciences and diagnostic laboratories.
Cohere, a leading AI startup, unveils powerful new language model Command-R and seeks up to $1 billion in funding to compete with OpenAI and Anthropic in the enterprise AI market.
Sketches have rich spatial information to help the robot carry out its tasks without getting confused by the clutter of realistic images or the ambiguity of natural language instructions.
Georgia Tech researchers introduce CAMeL, a benchmark revealing significant Western cultural bias in AI language models, emphasizing the need for culturally-aware AI systems.
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…
Large Language Models (LLMs) trained on large volumes of data excel at various natural language tasks, but they cannot handle tasks requiring knowledge that has not been trained on previously. One solution is to use a retriever that fetches relevant information to expand LLM’s knowledge scope.…
Accenture partners with AI startup Cohere to bring cutting-edge generative AI solutions to enterprises, accelerating adoption of advanced language models and search capabilities for enhanced productivity and efficiency across industries.
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
Paris-based startup Mistral AI has rapidly emerged as an AI leader, securing major partnerships with Microsoft, IBM and others just months after being founded. Learn how this fledgling French company is making waves in natural language processing and conversational AI.
In the Hellaswag LLM benchmark evaluating common sense natural language inference, Danube performed with an accuracy of 69.58%, sitting just behind Stability AI’s Stable LM 2 1.6 billion parameter model.
Pitchbook's analysis shows AI data centers, local large language models (LLMs) and domain-specific foundation models are three of the many growth catalysts VCs need to keep their firms growing and delivering returns.
Apple’s MGIE is a revolutionary AI model that can edit images based on natural language instructions, using multimodal large language models to generate expressive and imaginative edits.