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DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Most LMMs integrate vision and language by converting images into visual tokens fed as sequences into LLMs. While effective for multimodal understanding, this method significantly increases memory and computation demands, especially with high-resolution photos or videos. Various techniques, like spatial grouping and token compression,… Read More »DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

Benchmarking Federated Learning for Large Language Models with FedLLM-Bench Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large language models (LLMs) have achieved remarkable success across various domains, but training them centrally requires massive data collection and annotation efforts, making it costly for individual parties. Federated learning (FL) has emerged as a promising solution, enabling collaborative training of LLMs on decentralized… Read More »Benchmarking Federated Learning for Large Language Models with FedLLM-Bench Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Apple Machine Learning Research

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​In practice, training using federated learning can be orders of magnitude slower than standard centralized training. This severely limits the amount of experimentation and tuning that can be done, making it challenging to obtain good performance on a given task. Server-side proxy data can be… Read More »Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Apple Machine Learning Research

Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation Apple Machine Learning Research

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​Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists on the topic of human evaluation for speech translation, which adds additional challenges such as noisy data and segmentation mismatches.… Read More »Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation Apple Machine Learning Research

Balancing AI Tools and Traditional Learning: Integrating Large Language Models in Programming Education Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Human-computer interaction (HCI) focuses on designing and using computer technology, particularly the interfaces between people (users) and computers. Researchers in this field observe how humans interact with computers & design technologies that let humans interact with computers in novel ways. HCI encompasses various areas,… Read More »Balancing AI Tools and Traditional Learning: Integrating Large Language Models in Programming Education Aswin Ak Artificial Intelligence Category – MarkTechPost

Seeing Through Multiple Lenses: Multi-Head RAG Leverages Transformer Power for Improved Multi-Aspect Document Retrieval Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Retrieval Augmented Generation (RAG) is a method that enhances the capabilities of Large Language Models (LLMs) by integrating a document retrieval system. This integration allows LLMs to fetch relevant information from external sources, thereby improving the accuracy and relevance of the responses generated. This… Read More »Seeing Through Multiple Lenses: Multi-Head RAG Leverages Transformer Power for Improved Multi-Aspect Document Retrieval Nikhil Artificial Intelligence Category – MarkTechPost

Researchers at Stanford Introduce a Two-Step Framework for Linguistic Calibration of Long-Form Generations Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large language models (LLMs) have the potential to lead users to make poor decisions, especially when these models provide incorrect information with high confidence, which is called hallucination. This confident misinformation has the potential to be very dangerous since it might persuade people to… Read More »Researchers at Stanford Introduce a Two-Step Framework for Linguistic Calibration of Long-Form Generations Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Reimagining software development with the Amazon Q Developer Agent Christian Bock AWS Machine Learning Blog

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​[[{“value”:” Amazon Q Developer is an AI-powered assistant for software development that reimagines the experience across the entire software development lifecycle, making it faster to build, secure, manage, and optimize applications on or off of AWS. The Amazon Q Developer Agent includes an agent for… Read More »Reimagining software development with the Amazon Q Developer Agent Christian Bock AWS Machine Learning Blog

Enhancing Large-scale Parallel Training Efficiency with C4 by Alibaba Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The training of Large Language Models (LLMs) like GPT-3 and Llama on a large scale faces significant inefficiencies due to hardware failures and network congestion. These issues lead to substantial GPU resource waste and extended training durations. Specifically, hardware malfunctions cause interruptions in training,… Read More »Enhancing Large-scale Parallel Training Efficiency with C4 by Alibaba Aswin Ak Artificial Intelligence Category – MarkTechPost

Apple Intelligence: Leading the Way in On-Device AI with Advanced Fine-Tuned Models and Privacy Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Apple made a significant announcement, strongly advocating for on-device AI through its newly introduced Apple Intelligence. This innovative approach emphasizes the integration of a ~3 billion parameter language model (LLM) on devices like Mac, iPhone, and iPad, leveraging fine-tuned LoRA adapters to perform specialized… Read More »Apple Intelligence: Leading the Way in On-Device AI with Advanced Fine-Tuned Models and Privacy Asif Razzaq Artificial Intelligence Category – MarkTechPost