The BigCode project has successfully developed StarCoder2, the second iteration of an advanced large language model designed to revolutionise the field of software development. A collaboration between over 30 top universities and institutions, StarCoder2 uses machine learning to optimise code generation, making it easier to fix bugs and automate routine coding tasks.
Training StarCoder2 on…
Researchers from the University of Oxford and University College London have developed Craftax, a reinforcement learning (RL) benchmark that unifies effective parallelization, compilation, and the removal of CPU to GPU transfer in RL experiments. This research seeks to address the limitations educators face in using tools such as MiniHack and Crafter due to their prolonged…
Language models' performance pertains to their efficiency and ability to recall information, with demand for these capabilities high as artificial intelligence continues to tackle the intricacies of human language. Researchers from Stanford University, Purdue University, and the University at Buffalo have developed an architecture, called Based, differing significantly from traditional methodologies. Its aim is to…
IBM Research has unveiled "SimPlan", an innovative method designed to enhance the planning capabilities of large language models (LLMs), which traditionally struggle with mapping out action sequences toward achieving an optimal outcome. The SimPlan method, developed by researchers from IBM, combines the linguistic skills of LLMs with the structured approach of classical planning algorithms, addressing…
A group of researchers from the Sea AI Lab and Singapore University of Technology and Design have developed Sailor, a sophisticated collection of language models designed to ease the process of language translation in linguistically-diverse regions such as Southeast Asia. This solution distinguishes itself by accurately addressing the nuances of languages such as Indonesian, Thai,…
Many customers in sectors such as creative advertising, media and entertainment, ecommerce, and fashion often need to change the background in a large number of images, which usually involves a time-consuming manual editing process for each image. Amazon Bedrock, in conjunction with AWS Step Functions, makes it easy to automate the process of changing backgrounds…
Data-driven marketing strategies use data analysis to inform marketing decisions. Businesses that utilize these strategies can tailor their marketing initiatives to meet the interests and preferences of their target audiences. By understanding your audience through data analysis and customer insights, businesses can create more personalised and efficient marketing campaigns.
Robotic Marketer has harnessed the power…
The proliferation of influencer marketing has brought about innovative ways of driving measurable results, but not without challenges. Many businesses struggle with poor data usage, which promotes guesswork rather than tangible outcomes. Fortunately, RAD AI, an artificial intelligence platform, provides a solution through ROI-based influencer marketing.
RAD AI's approach revolves around a systematic four-step process…
The use of Influencer Marketing Solutions (IMS) has grown significantly, now accounting for about 25% of brands' influencer spend. Though many brands struggle with determining the value of their influencer marketing efforts due to a lack of access to the right information, RAD AI provides comprehensive insights using their 600+ API data connections with platforms…
Influencer Marketing Solution (IMS) use has witnessed explosive growth, accounting for up to 25% of brands' influencer spend. However, many brands have difficulty measuring the value of their influencer marketing efforts due to lack of access to the appropriate information. RAD AI aims to address this by utilizing Reddit data to gain authentic insights and…
Artificial Intelligence (AI) is a disruptive force in several sectors, yet its application in influencer marketing has been slow. Traditional influencer marketing practices rely heavily on subjective decision-making and offer limited scalability. Impressions and irrelevant statistics are often mistaken for return on investment (ROI), leading to inefficiency and wasted budgets.
Despite recent attempts to integrate…
Artificial intelligence (AI) is revolutionizing every aspect of business, but influencer marketing has been comparatively slow to keep up. Most areas of digital marketing have leveraged analytics and AI for years, while influencer marketing remains to a large extent manual. Many strategies depend on subjective selection criteria and antiquated ways of tracking ROI. These strategies…