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Guiding Instruction-based Image Editing via Multimodal Large Language Models Apple Machine Learning Research

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​Instruction-based image editing improves the controllability and flexibility of image manipulation via natural commands without elaborate descriptions or regional masks. However, human instructions are sometimes too brief for current methods to capture and follow. Multimodal large language models (MLLMs) show promising capabilities in cross-modal understanding… Read More »Guiding Instruction-based Image Editing via Multimodal Large Language Models Apple Machine Learning Research

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models Apple Machine Learning Research

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​Large Language Models (LLMs) with billions of parameters have drastically transformed AI applications. However, their demanding computation during inference has raised significant challenges for deployment on resource-constrained devices. Despite recent trends favoring alternative activation functions such as GELU or SiLU, known for increased computation, this… Read More »ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models Apple Machine Learning Research

Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker Marco Punio AWS Machine Learning Blog

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​[[{“value”:” Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. Llama2 by… Read More »Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker Marco Punio AWS Machine Learning Blog

Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock Yann Stoneman AWS Machine Learning Blog

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​[[{“value”:” Imagine harnessing the power of advanced language models to understand and respond to your customers’ inquiries. Amazon Bedrock, a fully managed service providing access to such models, makes this possible. Fine-tuning large language models (LLMs) on domain-specific data supercharges tasks like answering product questions… Read More »Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock Yann Stoneman AWS Machine Learning Blog

Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate Philip Whiteside AWS Machine Learning Blog

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​[[{“value”:” Organizations often offer support in multiple languages, saying “contact us for translations.” However, customers who don’t speak the predominant language often don’t know that translations are available or how to request them. This can lead to poor customer experience and lost business. A better… Read More »Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate Philip Whiteside AWS Machine Learning Blog

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock Jundong Qiao AWS Machine Learning Blog

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​[[{“value”:” Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.… Read More »Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock Jundong Qiao AWS Machine Learning Blog

Researchers at UC Berkeley Unveil a Novel Interpretation of the U-Net Architecture Through the Lens of Generative Hierarchical Models Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Artificial intelligence and machine learning are fields focused on creating algorithms to enable machines to understand data, make decisions, and solve problems. Researchers in this domain seek to design models that can process vast amounts of information efficiently and accurately, a crucial aspect in… Read More »Researchers at UC Berkeley Unveil a Novel Interpretation of the U-Net Architecture Through the Lens of Generative Hierarchical Models Nikhil Artificial Intelligence Category – MarkTechPost

Understanding Neuro-Symbolic AI: Integrating Symbolic and Neural Approaches Sajjad Ansari Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Neuro-Symbolic Artificial Intelligence (AI) represents an exciting frontier in the field. It merges the robustness of symbolic reasoning with the adaptive learning capabilities of neural networks. This integration aims to harness the strong points of symbolic and neural approaches to create more versatile and… Read More »Understanding Neuro-Symbolic AI: Integrating Symbolic and Neural Approaches Sajjad Ansari Artificial Intelligence Category – MarkTechPost

Free LLM Playgrounds and Their Comparative Analysis Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Free LLM Playgrounds and Their Comparative Analysis As the landscape of AI technology advances, the proliferation of free platforms to test large language models (LLMs) online has greatly increased. These ‘playgrounds’ offer a valuable resource for developers, researchers, and enthusiasts to experiment with different… Read More »Free LLM Playgrounds and Their Comparative Analysis Nikhil Artificial Intelligence Category – MarkTechPost