Sam Altman returns as CEO, OpenAI has a new initial board
Mira Murati as CTO, Greg Brockman returns as President. Read messages from CEO Sam Altman and board chair Bret Taylor.
Mira Murati as CTO, Greg Brockman returns as President. Read messages from CEO Sam Altman and board chair Bret Taylor.
Exploring the fusion of artificial intelligence with mathematical reasoning reveals a dynamic intersection where technology meets one of humanity’s oldest intellectual pursuits. The quest to imbue machines capable of parsing and solving mathematical problems stretches beyond mere computation, delving into the essence of cognitive understanding and logical deduction. This journey is marked by the deployment…
BAAI introduces BGE M3-Embedding with the help of researchers from the University of Science and Technology of China. The M3 refers to three novel properties of text embedding- Multi-Lingual, Multi-Functionality, and Multi-Granularity. It identifies the primary challenges in the existing embedding models, like being unable to support multiple languages, restrictions in retrieval functionalities, and difficulty…
There’s a burgeoning interest in technologies that can transform textual descriptions into videos. This area, blending creativity with cutting-edge tech, is not just about generating static images from text but about animating these images to create coherent, lifelike videos. The quest for producing high-fidelity, aesthetically pleasing videos that accurately reflect the described scenarios presents a…
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.
Vision-Language Models (VLMs) are Artificial Intelligence (AI) systems that can interpret and comprehend visual and written inputs. Incorporating Large Language Models (LLMs) into VLMs has enhanced their comprehension of intricate inputs. Though VLMs have made encouraging development and gained significant popularity, there are still limitations regarding their effectiveness in difficult settings. The core of VLMs,…
Molecular property prediction stands at the forefront of drug discovery and design, which has grown increasingly dependent on advancements in artificial intelligence and machine learning. Traditional methods, while foundational, often need to catch up in their scope, unable to encapsulate the vast and intricate details of molecular characteristics. This gap in capability highlights the need…