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​[[{“value”:” Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models underpin systems like retrieval-augmented generation and other AI-driven solutions. However, existing models often struggle with noisy training data, limited domain diversity, and inefficiencies in… Read More »Meet KaLM-Embedding: A Series of Multilingual Embedding Models Built on Qwen2-0.5B and Released Under MIT Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Digital lending is a critical business enabler for banks and financial institutions. Customers apply for a loan online after completing the know your customer (KYC) process. A typical digital lending process involves various activities, such as user onboarding (including steps to verify the user… Read More »Build an Amazon Bedrock based digital lending solution on AWS Shailesh Shivakumar AWS Machine Learning Blog

​[[{“value”:” Proteins, essential molecular machines evolved over billions of years, perform critical life-sustaining functions encoded in their sequences and revealed through their 3D structures. Decoding their functional mechanisms remains a core challenge in biology despite advances in experimental and computational tools. While AlphaFold and similar… Read More »Evola: An 80B-Parameter Multimodal Protein-Language Model for Decoding Protein Functions via Natural Language Dialogue Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematical reasoning stands at the backbone of artificial intelligence and is highly important in arithmetic, geometric, and competition-level problems. Recently, LLMs have emerged as very useful tools for reasoning, showing the ability to produce detailed step-by-step reasoning and present coherent explanations about complex tasks.… Read More »This AI Paper Explores Quantization Techniques and Their Impact on Mathematical Reasoning in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Yaniv Avolov, Tal Furman and Maor Ashkenazi from Deep Instinct. Deep Instinct is a cybersecurity company that offers a state-of-the-art, comprehensive zero-day data security solution—Data Security X (DSX), for safeguarding your data repositories across the cloud, applications, network attached… Read More »Build AI-powered malware analysis using Amazon Bedrock with Deep Instinct Tzahi Mizrahi AWS Machine Learning Blog

​[[{“value”:” As organizations navigate the complexities of the digital realm, generative AI has emerged as a transformative force, empowering enterprises to enhance productivity, streamline workflows, and drive innovation. To maximize the value of insights generated by generative AI, it is crucial to provide simple ways for… Read More »Email your conversations from Amazon Q Sujatha Dantuluri AWS Machine Learning Blog

​Large language models (LLMs) are useful for many applications, including question answering, translation, summarization, and much more, with recent advancements in the area having increased their potential. Large language models (LLMs) are useful for many applications, including question answering, translation, summarization, and much more, with recent… Read More »RAG Hallucination Detection Techniques Cornellius Yudha Wijaya MachineLearningMastery.com

​[[{“value”:” Scientific research is often constrained by resource limitations and time-intensive processes. Tasks such as hypothesis testing, data analysis, and report writing demand significant effort, leaving little room for exploring multiple ideas simultaneously. The increasing complexity of research topics further compounds these issues, requiring a… Read More »AMD Researchers Introduce Agent Laboratory: An Autonomous LLM-based Framework Capable of Completing the Entire Research Process Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) aim to align with human preferences, ensuring reliable and trustworthy decision-making. However, these models acquire biases, logical leaps, and hallucinations, rendering them invalid and harmless for critical tasks involving logical thinking. Logical consistency problems make it impossible to develop logically… Read More »From Contradictions to Coherence: Logical Alignment in AI Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost