OuteAI has released two new models of its Lite series, namely Lite-Oute-1-300M and Lite-Oute-1-65M, which are designed to maintain optimum efficiency and performance, making them suitable for deployment across various devices. The Lite-Oute-1-300M model is based on the Mistral architecture and features 300 million parameters, while the Lite-Oute-1-65M, based on the LLaMA architecture, hosts around…
Large language models (LLMs) act as powerful tools for numerous tasks but their utilization as general-purpose decision-making agents poses unique challenges. In order to function effectively as agents, LLMs not only need to generate plausible text completions but they also need to show interaction and goal-directed behaviour to complete specific tasks. Two critical abilities required…
Neural Magic, an AI solutions provider, has recently announced a breakthrough in AI model compression with the introduction of a fully quantized FP8 version of Meta's Llama 3.1 405B model. This achievement is significant in the field of AI as it allows this massive model to fit on any 8xH100 or 8xA100 system without the…
Artificial Intelligence (AI) and Machine Learning (ML) technologies have shown significant advancements, particularly via their application in various industries. Autonomous agents, a unique subset of AI, have the capacity to function independently, make decisions, and adapt to changing circumstances. These agents are vital for jobs requiring long-term planning and interaction with complex, unpredictable environments. A…
The increased use and reliance on artificial intelligence (AI) systems have come with its share of benefits and risks. More specifically, AI systems are considered vulnerable to cyber-attacks, often resulting in harmful repercussions. This is mainly because their construction is complex, their internal processes are not transparent, and they are regularly targeted by adversarial attacks…
Theorem proving is an indispensable component in the realms of formal mathematics and computer science. Despite its significance, constructing proofs is a demanding task that is not just time-consuming but also liable to errors due to its complex nature. Mathematicians and researchers, therefore, end up investing substantial amounts of time and energy in this process.…
Theorem proving is an essential process in formal mathematics and computer science, involving the verification of mathematical theorems by deriving logical inferences. However, it is also a notoriously complicated and laborious process, often fraught with errors. There have been several attempts to develop tools to streamline the theorem proving process, but most tools currently available…
Opslane is an open-source tool that is designed to help engineering teams tackle the issue of middle-of-the-night, unactionable alerts that add unnecessary stress to their workloads. This ingenious tool offers a solution to the difficulty faced by on-call engineers in identifying when an issue occurs, understanding its impact on the user, and resolving it swiftly.…
The alarming phenomenon of AI model collapse, which occurs when AI models are trained on datasets that contain their outputs, has been a major concern for researchers. As such large-scale models are trained on ever-expanding web-scale datasets, concerns have been raised about the degradation of model performance over time, potentially making newer models ineffective and…
Precision psychiatry combines psychiatry, precision medicine, and pharmacogenomics to devise personalized treatments for psychiatric disorders. The rise of Artificial Intelligence (AI) and machine learning technologies has made it possible to identify a multitude of biomarkers and genetic locations associated with these conditions.
AI and machine learning have strong potential in predicting the responses of patients to…