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Building Production-Ready AI Solutions: The Essential Role of Guardrails Jean-marc Mommessin Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” LLMs have emerged as powerful tools for a wide range of applications. However, their open-ended nature poses unique challenges when it comes to security, safety, reliability, and ethical use….topics essential when building for a production level AI solutions.  Example of Risks : Rogue chatbot:… Read More »Building Production-Ready AI Solutions: The Essential Role of Guardrails Jean-marc Mommessin Artificial Intelligence Category – MarkTechPost

Efficient Diffusion Models without Attention Apple Machine Learning Research

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​Transformers have demonstrated impressive performance on class-conditional ImageNet benchmarks, achieving state-of-the-art FID scores. However, their computational complexity increases with transformer depth/width or the number of input tokens and requires patchy approximation to operate on even latent input sequences. In this paper, we address these issues… Read More »Efficient Diffusion Models without Attention Apple Machine Learning Research

ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models Apple Machine Learning Research

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​Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and the controllability for complex scenes containing multi-class objects and dense objects with occlusions remain limited. This paper presents ODGEN,… Read More »ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models Apple Machine Learning Research

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications Apple Machine Learning Research

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​We consider the task of animating 3D facial geometry from speech signal. Existing works are primarily deterministic, focusing on learning a one-to-one mapping from speech signal to 3D face meshes on small datasets with limited speakers. While these models can achieve high-quality lip articulation for… Read More »Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications Apple Machine Learning Research

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention Apple Machine Learning Research

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​In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to locate convolutional weights in space, instead of relying on Multi-Layer Perceptron (MLP) encodings. While it initially achieved success, it has since been surpassed by recent MLP networks… Read More »KPConvX: Modernizing Kernel Point Convolution with Kernel Attention Apple Machine Learning Research

This AI Study from MIT Proposes a Significant Refinement to the simple one-dimensional linear representation hypothesis Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In a recent study, a team of researchers from MIT introduced the linear representation hypothesis, which suggests that language models perform calculations by adjusting one-dimensional representations of features in their activation space. According to this theory, these linear characteristics can be used to understand… Read More »This AI Study from MIT Proposes a Significant Refinement to the simple one-dimensional linear representation hypothesis Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Optimizing Agent Planning: A Parametric AI Approach to World Knowledge Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have advanced natural language processing tasks significantly. Recently, using LLMs for physical world planning tasks has shown promise. However, LLMs, primarily autoregressive models, often fail to understand the real world, leading to hallucinatory actions and trial-and-error behavior. Unlike LLMs, humans… Read More »Optimizing Agent Planning: A Parametric AI Approach to World Knowledge Mohammad Asjad Artificial Intelligence Category – MarkTechPost

A Comprehensive Review of Survey on Efficient Multimodal Large Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks such as visual question answering & image captioning. These models utilize large-scale pretraining, integrating multiple data modalities to enhance their… Read More »A Comprehensive Review of Survey on Efficient Multimodal Large Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

This AI Paper by ByteDance Research Introduces G-DIG: A Gradient-Based Leap Forward in Machine Translation Data Selection Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Machine Translation (MT) is a significant field within Natural Language Processing (NLP) that focuses on automatically translating text from one language to another. This technology leverages large language models (LLMs) to understand and generate human languages, facilitating communication across linguistic boundaries. MT aims to… Read More »This AI Paper by ByteDance Research Introduces G-DIG: A Gradient-Based Leap Forward in Machine Translation Data Selection Nikhil Artificial Intelligence Category – MarkTechPost

Handle Long Pause Between Bot Responses Using Dialogflow Pragnakalp Techlabs Chatbots Life – Medium

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​ Why does audio need to be included in interactions between users and bots? In a conversational AI-enabled voice bot, in case of obtaining data from a database or requesting information from LLM models like ChatGPT, Claude, Gemini, or LLaMA, there’s inevitably a delay while waiting… Read More »Handle Long Pause Between Bot Responses Using Dialogflow Pragnakalp Techlabs Chatbots Life – Medium