​[[{“value”:” Code Large Language Models (CodeLLMs) have predominantly focused on open-ended code generation tasks, often neglecting the critical aspect of code understanding and comprehension. Traditional evaluation methods might need to be updated and susceptible to data leakage, leading to unreliable assessments. Moreover, practical applications of… Read More »CodeMMLU: A Comprehensive Multi-Choice Benchmark for Assessing Code Understanding in Large Language Models Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs and can process both images and text. While LVLM are impressive at understanding and describing visual content, they sometimes face challenges due to inconsistencies between their visual and language… Read More »Dynamic Contrastive Decoding (DCD): A New AI Approach that Selectively Removes Unreliable Logits to Improve Answer Accuracy in Large Vision-Language Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories,… Read More »Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business Roshan Thomas AWS Machine Learning Blog

​[[{“value”:” AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit,… Read More »AI Summit: US Energy Secretary Highlights AI’s Role in Science, Energy and Security Brian Caulfield – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. The service, which was launched in March… Read More »Transitioning off Amazon Lookout for Metrics  Nirmal Kumar AWS Machine Learning Blog

​[[{“value”:” Evaluating generative AI systems can be a complex and resource-intensive process. As the landscape of generative models evolves rapidly, organizations, researchers, and developers face significant challenges in systematically evaluating different models, including LLMs (Large Language Models), retrieval-augmented generation (RAG) setups, or even variations in… Read More »AutoArena: An Open-Source AI Tool that Automates Head-to-Head Evaluations Using LLM Judges to Rank GenAI Systems Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs are advancing healthcare by offering new possibilities in clinical support, especially through tools like Microsoft’s BioGPT and Google’s Med-PaLM. Despite these innovations, LLMs in healthcare face a significant challenge: aligning with the professionalism and precision required for real-world diagnostics. This gap is particularly… Read More »ZODIAC: Bridging LLMs and Cardiological Diagnostics for Enhanced Clinical Precision Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Anthropic AI recently launched a new Message Batches API, which is a useful solution for developers handling large datasets. It allows the submission of up to 10,000 queries at once, offering efficient, asynchronous processing. The API is designed for tasks where speed isn’t crucial,… Read More »Anthropic AI Introduces the Message Batches API: A Powerful and Cost-Effective Way to Process Large Volumes of Queries Asynchronously Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal foundation models, like GPT-4 and Gemini, are effective tools for a variety of applications because they can handle data formats other than text, such as images. However, these models are underutilized when it comes to evaluating massive amounts of multidimensional time-series data, which… Read More »Enhancing Time-Series Analysis in Multimodal Models through Visual Representations for Richer Insights and Cost Efficiency Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences. The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences.  Read… Read More »Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry Google DeepMind Blog