My interest lies in the AI advancements of OpenAI, Google, Meta, Apple, AWS, NVIDIA, Microsoft, AMD, HuggingFace, DataBricks, Snowflake, Cohere, Anthropic, AI21 Labs, Perplexity, etc. My focus areas include AIGC, LLM(such as Gemini, Claude, Llama, Mixtral), GPU, chatbot, AI agents, robotics, image generation, speech synthesis, video generation, code assistants, etc. I am not interested in autonomous driving or news unrelated to AI.
Idefics2 is a new 8B vision-language model that can process text and images, answer questions, describe visual content, create stories, extract information, and perform basic arithmetic operations. It improves upon its predecessor, Idefics1.
Source: https://huggingface.co/blog
Rating: 88 | 2024-12-26 01:39:56 PM |
OpenAI is expanding into Asia with a new office in Tokyo, Japan, to collaborate with the government and local businesses on AI tools. Tokyo was chosen for its global tech leadership and innovative community.
Source: https://openai.com/blog
Rating: 85 | 2024-12-26 01:39:56 PM |
Audio spatial separation, isolating sounds from a mixture with various angles of arrival, is a fundamental topic in audio processing. The task is to leverage the spatial diversity of audio captured from multiple microphones to separate audio sources in designated angular regions from the remaining interference.
Source: https://blog.research.google/
Rating: 85 | 2024-12-26 01:39:56 PM |
Vision language models can learn from images and texts simultaneously, tackling tasks like visual question answering and image captioning. This post covers the main components of these models, including how to find, use, and fine-tune them.
Source: https://huggingface.co/blog
Rating: 85 | 2024-12-26 01:39:56 PM |
The article discusses the advancements in large language models and the concerns associated with them, such as factuality and transparency. It also explores how understanding a model's hidden representations can help control its behavior and deepen scientific understanding.
Source: https://blog.research.google/
Rating: 85 | 2024-12-26 01:39:56 PM |
Curtis Northcutt, CEO of Cleanlab, and Steven Gawthorpe, senior data scientist at Berkeley Research Group, discuss Cleanlab's approach to data curation, focusing on error identification and correction algorithms, in an episode recorded live at the NVIDIA GTC global AI conference.
Source: https://blogs.nvidia.com/
Rating: 75 | 2024-12-26 01:39:56 PM |
Foundation models are AI neural networks trained on vast amounts of raw data using unsupervised learning. They are designed to understand and generate human-like responses.
Source: https://blogs.nvidia.com/
Rating: 85 | 2024-12-26 01:39:56 PM |
The Biden Administration has announced a new $110 million AI partnership between Japan and the United States. NVIDIA is committing $25 million in a collaboration with Amazon to bring the latest technologies to the University of Washington and the University of Tsukuba.
Source: https://nvidianews.nvidia.com/
Rating: 82 | 2024-12-26 01:39:56 PM |
An investigation was conducted into a 'jailbreaking' technique that can evade safety guardrails in large language models, affecting Anthropic's models and those of other AI companies. The technique, called 'many-shot jailbreaking', was briefed to other developers and mitigations were implemented. The technique exploits a feature of LLMs that has grown dramatically.
Source: https://www.anthropic.com/news
Rating: 85 | 2024-12-26 01:39:56 PM |
Google has developed new algorithms to improve the efficiency of vector similarity search, a crucial aspect of machine learning applications. These algorithms are used to compare and find similarities between objects, such as images or websites, which are represented as vector embeddings.
Source: https://blog.research.google/
Rating: 82 | 2024-12-26 01:39:56 PM |