​[[{“value”:” Technological advancements have been pivotal in transcending the boundaries of what’s achievable in the domain of audio generation, especially in high-fidelity audio synthesis. As demand for more sophisticated and realistic audio experiences escalates, researchers have been propelled to innovate beyond conventional methods to resolve… Read More »Enhanced Audio Generation through Scalable Technology Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Pretrained on trillion-token corpora, large neural language models (LLMs) have achieved remarkable performance strides (Touvron et al., 2023a; Geng & Liu, 2023). However, the scalability benefits of such data for traditional n-gram language models (LMs) still need to be explored. This paper from the… Read More »This AI Paper Proposes Infini-Gram: A Groundbreaking Approach to Scale and Enhance N-Gram Models Beyond Traditional Limits Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents Image Processing with Gemini Pro Getting Started with Gemini Pro: An Overview Gemini Pro Setup Integrating Google AI Python SDK with Gemini Pro Image Processing with Gemini Pro: Python Code Generation Comprehensive List of GenAI Models Compatible with Gemini Pro… Read More »Image Processing with Gemini Pro Aditya Sharma PyImageSearch

​[[{“value”:” Delving into the intricacies of artificial intelligence, particularly within the dynamic reasoning domain, uncovers the pivotal role of Large Language Models (LLMs) in navigating environments that are not just complex but ever-changing. While effective in predictable settings, traditional static reasoning models falter when faced… Read More »Outsmarting Uncertainty: How ‘K-Level Reasoning’ from Microsoft Research is Setting New Standards for LLMs Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As enterprises look to deploy LLMs in more complex production use cases beyond simple knowledge assistants, there is a growing recognition of three interconnected needs:   Agents – complex workflows involve multiple steps and require the orchestration of multiple LLM calls; Function Calls – models… Read More »LLMWare Launches SLIMs: Small Specialized Function-Calling Models for Multi-Step Automation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Nomic AI released an embedding model with a multi-stage training pipeline, Nomic Embed, an open-source, auditable, and high-performing text embedding model. It also has an extended context length supporting tasks such as retrieval-augmented-generation (RAG) and semantic search. The existing popular models, including OpenAI’s text-embedding-ada-002,… Read More »Nomic AI Introduces Nomic Embed: Text Embedding Model with an 8192 Context-Length that Outperforms OpenAI Ada-002 and Text-Embedding-3-Small on both Short and Long Context Tasks Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite the utility of large language models (LLMs) across various tasks and scenarios, researchers need help to evaluate LLMs properly in different situations. They use LLMs to check their responses, but a solution must be found. This method is limited because there aren’t enough… Read More »Can Large Language Models be Trusted for Evaluation? Meet SCALEEVAL: An Agent-Debate-Assisted Meta-Evaluation Framework that Leverages the Capabilities of Multiple Communicative LLM Agents Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This process allows these models to achieve state-of-the-art image quality, making them one of the… Read More »Pinterest Researchers Present an Effective Scalable Algorithm to Improve Diffusion Models Using Reinforcement Learning (RL) Arham Islam Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Graph Transformers need help with scalability in graph sequence modeling due to high computational costs, and existing attention sparsification methods fail to adequately address data-dependent contexts. State space models (SSMs) like Mamba are effective and efficient in modeling long-range dependencies in sequential data, but… Read More »Meet Graph-Mamba: A Novel Graph Model that Leverages State Space Models SSM for Efficient Data-Dependent Context Selection Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Well-known Large Language Models (LLMs) like ChatGPT and Llama have recently advanced and shown incredible performance in a number of Artificial Intelligence (AI) applications. Though these models have demonstrated capabilities in tasks like content generation, question answering, text summarization, etc, there are concerns regarding… Read More »‘Weak-to-Strong JailBreaking Attack’: An Efficient AI Method to Attack Aligned LLMs to Produce Harmful Text Tanya Malhotra Artificial Intelligence Category – MarkTechPost