​[[{“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

​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a significant challenge remains in understanding the theoretical underpinnings of their performance. Specifically, there is a lack of a… Read More »This Machine Learning Unveils How Large Language Models LLMs Operate as Markov Chains to Unlock Their Hidden Potential Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” “If you want to go fast, go alone. If you want to go far, go together”: This African proverb aptly describes how multi-agent systems outperform regular individual LLMs in various reasoning, creativity, and aptitude tasks. Multi-agent(MA) systems harness the collective intelligence of multiple instances… Read More »Agent Prune: A Robust and Economic Multi-Agent Communication Framework for LLMs that Saves Cost and Removes Redundant and Malicious Contents Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text retrieval in machine learning faces significant challenges in developing effective methods for indexing and retrieving documents. Traditional approaches relied on sparse lexical matching methods like BM25, which used n-gram frequencies. However, these statistical models have limitations in capturing semantic relationships and context. The… Read More »Enhancing Text Retrieval: Overcoming the Limitations with Contextual Document Embeddings Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The 2024 Nobel Prize in Physics has been awarded to two pioneering figures in the field of artificial intelligence: John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto. They were recognized for their groundbreaking work in developing foundational… Read More »Machine Learning Meets Physics: The 2024 Nobel Prize Story Asif Razzaq Artificial Intelligence Category – MarkTechPost