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LongRAG: A Robust RAG Framework for Long-Context Question Answering Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have revolutionized long-context question answering (LCQA), a complex task requiring reasoning over extensive documents to provide accurate answers. While recent long-context LLMs like Gemini and GPT4-128k can process entire documents directly, they struggle with the “lost in the middle” phenomenon,… Read More »LongRAG: A Robust RAG Framework for Long-Context Question Answering Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Computational Bottlenecks of Training Small-Scale Large Language Models Apple Machine Learning Research

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​[[{“value”:”This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) workshop at NeurIPS Workshop 2024. While large language models (LLMs) dominate the AI landscape, Small-scale large Language Models (SLMs) are gaining attention due to cost and efficiency demands from consumers. However, there… Read More »Computational Bottlenecks of Training Small-Scale Large Language Models Apple Machine Learning Research

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models Apple Machine Learning Research

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​The rapid evolution of Large Language Models (LLMs) and conversational assistants necessitates dynamic, scalable, and configurable conversational datasets for training and evaluation. These datasets must accommodate diverse user interaction modes, including text and voice, each presenting unique modeling challenges. Knowledge Graphs (KGs), with their structured… Read More »ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models Apple Machine Learning Research

Researchers from Intel and Salesforce Propose SynthKG: A Multi-Step Document-Level Ontology-Free Knowledge Graphs Synthesis Workflow based on LLMs Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Knowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge representations from expansive, unstructured text data. These structured graphs have pivotal applications in areas requiring information retrieval and reasoning, such as question answering, complex data summarization, and… Read More »Researchers from Intel and Salesforce Propose SynthKG: A Multi-Step Document-Level Ontology-Free Knowledge Graphs Synthesis Workflow based on LLMs Nikhil Artificial Intelligence Category – MarkTechPost

What’s new in TensorFlow 2.18 noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

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​[[{“value”:” Posted by the TensorFlow team TensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more. For the full release notes, please click here. Note: Release updates on the new multi-backend Keras will… Read More »What’s new in TensorFlow 2.18 noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas Amit Gautam AWS Machine Learning Blog

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​[[{“value”:” In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. This post presents an architectural approach to extract data from… Read More »Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas Amit Gautam AWS Machine Learning Blog

Customized model monitoring for near real-time batch inference with Amazon SageMaker Joe King AWS Machine Learning Blog

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​[[{“value”:” Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. In these… Read More »Customized model monitoring for near real-time batch inference with Amazon SageMaker Joe King AWS Machine Learning Blog

LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” LLMWare.ai, a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the largest collections of SLMs that are optimized for Intel PCs. With over 100 models spanning multiple use cases such as… Read More »LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs Asif Razzaq Artificial Intelligence Category – MarkTechPost

Top 10 Free AI Playgrounds For You to Try Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Curious about the future of AI? Want to witness firsthand how AI can generate creative text, code, or even art? AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. Here is a list of ten free platforms that empower… Read More »Top 10 Free AI Playgrounds For You to Try Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost