Language models have demonstrated remarkable performance in solving reasoning tasks; however, even the strongest models still occasionally make reasoning mistakes. Recently, there has been active research aimed at improving reasoning accuracy, particularly by using pretrained language models to "self-correct" their mistakes via multi-round prompting. In this paper, we follow this line of work but focus on understanding the usefulness of incorporating "error-correction" data directly into the pretraining stage. This data consists of erroneous solution steps immediately followed by their corrections. Using a synthetic math dataset, we show promising results: this type of pretrain data can help language models achieve higher reasoning accuracy directly (i.e., through simple auto-regression, without multi-round prompting) compared to pretraining on the same amount of error-free data. We also delve into many details, such as (1) how this approach differs from beam search, (2) how such data can be prepared, (3) whether masking is needed on the erroneous tokens, (4) the amount of error required, (5) whether such data can be deferred to the fine-tuning stage, and many others.

Jiminny, a UK headquartered conversation intelligence provider supporting sales teams across the world, has closed a $16.5 million series A funding round. The round was led by Kennet Partners, a transatlantic growth equity firm, adding to its targeted portfolio of technology growth stage investments. Sales teams use Jiminny's platform to record and analyse new and existing customer conversations in real-time. These insights are used by the business to improve performance and ultimately drive revenue and growth. A range of organisations, from FTSE 100 constituent Informa to Europe's leading expense management solution, Pleo, are using the platform.

Artificial Intelligence (AI) has been making headlines both in local and international markets for helping businesses elevate their process, system, and data mining, especially in Healthcare and Financial Industries. AI is full of potential and can transform the business process but adapting and implementing any new technology can be a daunting task. Let us familiarize ourselves with it and if any organization should use it and what are its requirements and benefits. Data in a dictionary term is the quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media. Hence, AI feeds on your data to automate your business.

The Conversational AI sector made significant progress last year, as technological innovation and its adoption across international vertical markets drove growth and disruption for many of the industry's key stakeholders, influencers, investors and organisations. An even greater level of advancement is anticipated for the sector in 2022 as a number of developmental trends are set to define the next 12 months and beyond, according to industry experts from Artificial Solutions. As the volume of use cases grows across international markets, Conversational AI is quickly becoming a channel that marketeers, business owners and C-suite executives regard as essential for digital growth. This year, we anticipate that CAI will join the likes of SEO, PPC, UX, UI, PR and Social Media as a core channel for businesses and enterprises to strategise around. As shown by the likes of ŠKODA and Swisscom in 2021, who committed significant resources towards their CAI teams and output.

"The global Artificial Intelligence market is a capital-intensive, energy-consuming, and vital industry for many economies across the world. This comprehensive report on the global Artificial Intelligence market aims to provide a general overview of the Artificial Intelligence industry by presenting extensive research about the market, exhibiting important market aspects, and suggesting future growth directions based on the market study. The report critically analyzes the market forces that affect the pricing structure and production in the market. To examine these forces two perspectives are used namely Porter's Five Forces Analysis and institutional economics framework. Porter's Five Forces Analysis examines the competitive forces that drive the global Artificial Intelligence market economy and institutional economics framework role of the governments and regulatory policies in influencing the infrastructural development, production, and distribution channels of the global Artificial Intelligence market.

Ola, the popular ride-hailing company this week announced the roll-out of its artificial intelligence-enabled safety feature, Guardian in 17 markets across India and Australia. After running a successful pilot across multiple cities in India and international markets, the Guardian feature is going live in 16 Indian cities as well as Perth in Australia. Ola aims to take Guardian to more cities in the coming quarter. The Guardian feature, developed by Ola as a world-first, uses real-time data from rides to automatically detect irregular trip activity, including prolonged stops and unexpected route deviations. These alerts are flagged off in real-time to Ola's dedicated 24 7 Safety Response Team, who immediately reach out to customers and drivers to confirm if they're safe and offer on-the-call assistance until ride completion.

Fast food chain McDonald's has made yet another push into the world of automation. The company on Tuesday revealed it is acquiring conversational technology startup Apprente with a plan to integrate its systems with services such as drive-thru menus, self-order kiosks, and the mobile app. It comes just months after the fast food giant began rolling out AI-powered menus at hundreds of its locations across the United States, using the technology to make more precise menu suggestions. McDonald's on Tuesday revealed it is acquiring conversational technology startup Apprente with a plan to integrate its systems with services such as drive-thru menus, self-order kiosks, and the mobile app McDonald's President and CEO Steve Easterbrook said the latest acquisition will make it'simpler and even more enjoyable for crew members to serve guests.' Back in March the company acquired Israeli digital startup Dynamic Yield with similar plans to improve the customer experience using AI. Its AI menus can suggest items based on the time of day, weather or recent trends, like showing a hashbrown alongside a cheeseburger - a combination that recently went viral on Reddit.

Soon, you won't have to struggle to decide what to eat from the McDonald's menu. The fast food giant is rolling out high-tech menus at 700 restaurants across the country that use artificial intelligence to suggest items. It comes after McDonald's acquired Israeli digital startup Dynamic Yield in March. McDonald's is launching high-tech kiosks at 700 restaurants across the country that use AI to suggest items. McDonald's purchased Dynamic Yield, an Israeli company which employs data and analytics to increase sales.

Facebook's smart speakers may be hitting the shelves soon after all. The social media giant was set to release a pair of voice-activated smart speakers at its F8 developers conference this week, but ultimately delayed the launch in the wake of its massive privacy scandal. Now, Facebook is considering rolling out the devices internationally, before possibly bringing them stateside to the US, CNBC reported, citing sources familiar with the situation. Facebook CEO Mark Zuckerberg was expected to unveil a pair of smart speakers at the firm's 2018 F8 developers conference, but the firm put those plans on hold after its privacy scandal The devices would come with a smart assistant built in that's connected to Facebook's artificial intelligence technology called'M'. However, it seems that the firm ended its role as a text-based virtual assistant, and now may have plans for M to serve as the technology powering its voice-activated digital assistant.

Touchkin is a platform that uses AI and machine learning to provide personalised care solutions. For Jo Aggarwal and Ramakant Vempati, one of the biggest concerns they had while working abroad was the health of their family living back in India. The husband and wife duo were working in high-flying corporate jobs with organsations like Pearson Learning Solutions and Goldman Sachs International in the UK. Living away from family, the couple realised that remote care giving was a huge global challenge, not just in India, but abroad as well, especially when it came to understanding the emotional and mental well-being of the families living in their home countries. So, in 2012, the two of them moved back to India to take care of their family.