Author: Only AI Stuff

The development of technology in the field of speech recognition has seen continual advancements, yet factors like latency time delays in processing spoken language – have often presented hurdles. Such latency is particularly noticeable in autoregressive models, which process speech in a sequence, causing delays. These delays are problematic for real-time applications such as live

Microsoft is predicted to record its strongest quarterly growth in nearly two years, with anticipated revenue increase of 15.8%. The company has swiftly adopted generative AI by forming an alliance with industry leader OpenAI, propelling Microsoft to lead the market with a whopping $3 trillion valuation. This surpasses Apple as the most valuable company. Microsoft

Artificial Intelligence (AI) and Large Language Models (LLMs) have made striking advancements, improving natural language generation and comprehension. However, these models often struggle with non-English languages, particularly those with limited resources. Although the introduction of generative multilingual LLMs has improved this scenario, language coverage remains inadequate. Achievements in this area include the XLM-R auto-encoding model

In September 2022, Character.AI, a chatbot designed by Noam Shazeer and Daniel De Freitas, former Google AI developers, was launched. This groundbreaking AI exceeded traditional chatbots by enabling users to engage in dialogue with AI renditions of noteworthy historical and contemporary figures. The concept was formed in November 2021 and led to the creation of

A legal dispute has arisen over an artificial intelligence (AI)-created video featuring a tour-de-force imitation of late comedian George Carlin. The video, which is said to have shocked fans, was created by a fictitious AI podcast host ‘Dudesy’. Although the video demonstrated the progress made in voice cloning, it infuriated Carlin’s estate, who are now

Researchers from The Wharton School conducted a study aiming to enhance the creative potential of an artificial intelligence model known as GPT-4 during brainstorming sessions. They found that while GPT-4 was adept at generating ideas, the produced ideas appeared to have minimal diversity, making them similar to already existing concepts instead of presenting unique, out-of-the-box

The internet is a vast source of knowledge that is continuously expanding and updating. Keeping up with the constant changes and ensuring people have access to the most current and relevant information is a significant challenge in information retrieval. This challenge is compounded by the rise of large language models (LLMs) like chatGPT, used in

Artificial Intelligence and natural language processing are rapidly advancing fields, and a key player in these arenas is the application of Large Language Models (LLMs). But LLMs have their challenges, one such being their capability to effectively engage in role-play. To address this, Alibaba researchers are pioneering a unique technique, DITTO, which significantly amplifies the

Language Models (LMs) can have difficulty in reasoning tasks like mathematics or coding, particularly in low-resource languages. These struggles come as LMs tend to be largely trained on data from high-resource languages, leaving smaller languages underrepresented. This issue can be intensified in specialised LMs, such as Orca 2 and MetaMath which have undergone considerable adaptation,