​[[{“value”:” Alibaba’s AI research division has unveiled the latest addition to its Qwen language model series – the Qwen1.5-32B- in a remarkable stride towards balancing high-performance computing with resource efficiency. With its 32 billion parameters and impressive 32k token context size, this model not only… Read More »Alibaba-Qwen Releases Qwen1.5 32B: A New Multilingual dense LLM with a context of 32k and Outperforming Mixtral on the Open LLM Leaderboard Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. These models allocate computational resources uniformly across input sequences, a method that, while straightforward, overlooks the nuanced variability in the computational demands of different… Read More »Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A critical challenge in Artificial intelligence, specifically regarding large language models (LLMs), is balancing model performance and practical constraints like privacy, cost, and device compatibility. While large cloud-based models offer high accuracy, their reliance on constant internet connectivity, potential privacy breaches, and high costs… Read More »Researchers at Stanford University Introduce Octopus v2: Empowering On-Device Language Models for Super Agent Functionality Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. The introduction of the transformer architecture has provided a new paradigm for building models that understand and generate human language with… Read More »Role Of Transformers in NLP – How are Large Language Models (LLMs) Trained Using Transformers? Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the ever-evolving landscape of artificial intelligence, businesses face the perpetual challenge of harnessing vast amounts of unstructured data. Meet RAGFlow, a groundbreaking open-source AI project that promises to revolutionize how companies extract insights and answer complex queries with an unprecedented level of truthfulness… Read More »Meet RAGFlow: An Open-Source RAG (Retrieval-Augmented Generation) Engine Based on Deep Document Understanding Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Human designers’ creative ideation for concept generation has been aided by intuitive or structured ideation methods such as brainstorming, morphological analysis, and mind mapping. Among such methods, the Theory of Inventive Problem Solving (TRIZ) is widely adopted for systematic innovation and has become a… Read More »AutoTRIZ: An Artificial Ideation Tool that Leverages Large Language Models (LLMs) to Automate and Enhance the TRIZ (Theory of Inventive Problem Solving) Methodology Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Understanding and evaluating investments is crucial for making informed decisions in finance. Many face the challenge of accessing financial data, calculating vital financial metrics, and staying updated with the latest news relevant to their investments. This difficulty often leads to missed opportunities or poorly… Read More »Meet the ‘LangChain Financial Agent’: An AI Fintech Project Built on Langchain and FastAPI Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A team of Google researchers introduced the Streaming Dense Video Captioning model to address the challenge of dense video captioning, which involves localizing events temporally in a video and generating captions for them. Existing models for video understanding often process only a limited number… Read More »Google AI Unveils New Benchmarks in Video Analysis with Streaming Dense Captioning Model Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, there has been a significant surge in the adoption of pre-trained language models, leading to an increase in the use of neural-based retrieval models. One such technique that has gained popularity for its effectiveness is Dense Retrieval (DR), which achieves great… Read More »How Are Generative Retrieval and Multi-Vector Dense Retrieval Related To Each Other? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The proficiency of large language models (LLMs) in deciphering the complexities of human language has been a subject of considerable acclaim. Yet, when it comes to mathematical reasoning—a skill that intertwines logic with numerical understanding—these models often falter, revealing a gap in their ability… Read More »Researchers from Zhipu AI and Tsinghua University Introduced the ‘Self-Critique’ pipeline: Revolutionizing Mathematical Problem Solving in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost