​[[{“value”:” In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Onboarding new customers in the banking industry is a crucial step in the customer journey, involving a… Read More »Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock Anup Ravindranath AWS Machine Learning Blog

​ This Week in AI: Meetups, Courses, and Community News Welcome to this week’s edition of ChatBots Life Update, where we aim to provide you with the most crucial AI information in just 5 minutes. Here is what’s in store: 💪 Upcoming Online Meetup: Join us and… Read More »Here is What is Coming this Month Stefan Kojouharov Chatbots Life – Medium

​[[{“value”:” This summer, scientists supercharged their tools in the hunt for signs of life beyond Earth. Researchers at the SETI Institute became the first to apply AI to the real-time direct detection of faint radio signals from space. Their advances in radio astronomy are available… Read More »SETI Institute Researchers Engage in World’s First Real-Time AI Search for Fast Radio Bursts Harry Petty – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Large language models (LLMs) have gained significant attention in recent years, but understanding their capabilities and limitations remains a challenge. Researchers are trying to develop methodologies to reason about the strengths and weaknesses of AI systems, particularly LLMs. The current approaches often lack a… Read More »From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The ability of learning to evaluate is increasingly taking on a pivotal role in the development of modern large multimodal models (LMMs). As pre-training on existing web data reaches its limits, researchers are shifting towards post-training with AI-enhanced synthetic data. This transition highlights the… Read More »LLaVA-Critic: An Open-Source Large Multimodal Model Designed to Assess Model Performance Across Diverse Multimodal Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformers have gained significant attention due to their powerful capabilities in understanding and generating human-like text, making them suitable for various applications like language translation, summarization, and creative content generation. They operate based on an attention mechanism, which determines how much focus each token… Read More »This AI Paper from Google Introduces Selective Attention: A Novel AI Approach to Improving the Efficiency of Transformer Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made considerable advancements in natural language understanding and generation through scalable pretraining and fine-tuning techniques. However, a major challenge persists in enhancing LLMs’ reasoning abilities, particularly for complex logical and mathematical tasks. The scarcity of high-quality preference data for… Read More »CodePMP: A Scalable Preference Model Pre-training for Supercharging Large Language Model Reasoning Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction Traditional depth estimation methods often require metadata, such as camera intrinsics, or involve additional processing steps that limit their applicability in real-world scenarios. These limitations make it challenging to produce accurate depth maps efficiently, especially for diverse applications like augmented reality, virtual reality,… Read More »Apple AI Releases Depth Pro: A Foundation Model for Zero-Shot Metric Monocular Depth Estimation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized natural language processing and artificial intelligence, enabling a variety of downstream tasks. However, most advanced models focus predominantly on English and a limited set of high-resource languages, leaving many European languages underrepresented. This lack of linguistic diversity creates… Read More »EuroLLM Released: A Suite of Open-Weight Multilingual Language Models (EuroLLM-1.7B and EuroLLM-1.7B-Instruct) Capable of Understanding and Generating Text in All Official European Union languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples (ICEs) is critical, especially for functions like math and logic that require multi-step reasoning. Traditional text-based… Read More »GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples (ICE) Sana Hassan Artificial Intelligence Category – MarkTechPost