Training large language models (LLMs) hinges on the availability of diverse and abundant datasets, which can be created through synthetic data generation. The conventional methods of creating synthetic data - instance-driven and key-point-driven - have limitations in diversity and scalability, making them insufficient for training advanced LLMs.
Addressing these shortcomings, researchers at Tencent AI Lab have…
MultiOn AI has recently unveiled its latest development, the Retrieve API. This innovative autonomous web information retrieval API is designed to transform how businesses and developers extract and utilize data from the web. The API is an enhancement of the previously introduced Agent API and offers an all-encompassing solution for autonomous web browsing and data…
In the quick-paced field of artificial intelligence (AI), GPT4All 3.0, a milestone project by Nomic, is revolutionizing how large language models (LLMs) are accessed and controlled. As corporate control over AI intensifies, there emerges a higher demand for locally-run, open-source alternatives that prioritize user privacy and control. Addressing this demand, GPT4All 3.0 provides a comprehensive…
In a significant reveal that has shaken the world of technology, Kyutai introduced Moshi, a pioneering real-time native multimodal foundation model. This new AI model emulates and exceeds some functionalities previously demonstrated by OpenAI’s GPT-4o. Moshi understands and delivers emotions in various accents, including French, and can simultaneously handle two audio streams, allowing it to…
Last summer, the Massachusetts Institute of Technology (MIT) President Sally Kornbluth and Provost Cynthia Barnhart called on the academic community to provide effective strategies, policy proposals, and initiatives for the expansive realm of generative artificial intelligence (AI). They were met with an overwhelming response, receiving 75 submissions. After reviewing them, the committee selected 27 proposals…
The Massachusetts Institute of Technology (MIT) launched a call papers to examine generative AI and formulate suggestions on its applications. The initial call was widely acclaimed and received 75 submissions, 27 of which were selected for seed funding. Seeing the enthusiasm, MIT President Sally Kornbluth and Provost Cynthia Barnhart announced a second call for proposals,…
Amazon Bedrock's Knowledge Bases feature is aimed at securely linking foundation models with company data using Retrieval Augmented Generation (RAG). This boosts the RAG workflow, eliminating the need for custom data source integrations and data flow management. Guardrails for Amazon Bedrock enables organizations to implement safeguards tailored to their use cases and responsible AI policies.…
The AWS Generative AI Innovation Center has developed an AI assistant for generating medical content using language learning models (LLMs). Notably, the assistant can reduce content generation time for disease awareness marketing from weeks to hours. Through automation, users can provide the AI with instructions and comments, allowing editing and control over the generation process.…
Foreigners and expatriates residing outside their home countries are frequently confronted with language barriers while trying to decipher emails and set reminders for various events such as business meetings, customer gatherings, and more. Amazon has developed a way to eradicate these language barriers by creating a fully automated, multilingual calendar Artificial Intelligence (AI) assistant utilizing…
The flood of Deepfake videos generated by AI is causing concern as they are targeting disproportionately women with explicit AI images and videos spreading online, particularly on platforms such as YouTube. In a bid to address this problem, YouTube has now implemented a way for users to lodge a complaint if they believe they’ve been…