​[[{“value”:” Recent advancements in self-supervised representation learning, sequence modeling, and audio synthesis have significantly enhanced the performance of conditional audio generation. The prevailing approach involves representing audio signals as compressed representations, either discrete or continuous, upon which generative models are applied. Various works have explored… Read More »Meta AI Introduces MAGNET: The First Pure Non-Autoregressive Method for Text-Conditioned Audio Generation Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The quest to process lengthy documents with precision has been a formidable challenge. Generative transformer models have been at the forefront, dissecting and comprehending extensive texts. Their effectiveness wanes when faced with documents sprawling across tens of thousands of tokens, revealing a gap in… Read More »BABILong: Revolutionizing Long Document Processing through Recurrent Memory Augmentation in NLP Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing and serving features to real-time models in machine learning poses a significant challenge for ML platform teams. Consistent feature availability during both training and real-time prediction, along with the prevention of data leakage, requires a sophisticated solution. Existing options often involve intricate dataset… Read More »Meet Feast (Feature Store): An Open-Source Feature Store for Machine Learning Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Improving LLMs involves continuously refining algorithms and training procedures to enhance their accuracy and versatility. However, the primary challenge in developing LLMs is accurately evaluating their performance. LLMs generate complex, freeform text, making it difficult to benchmark their outputs against a fixed standard. This… Read More »Google AI Introduces LLM Comparator: A Step Towards Understanding the Evaluation of Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs), as computational giants capable of understanding and generating text with astonishing accuracy, hold the key to various applications, from automated content creation to sophisticated conversational agents. However, their deployment is marred by a significant hurdle: computational and memory requirements. As… Read More »This AI Paper Boldly Quantizes the Weight Matrices of LLMs to 1-Bit: Paving the Way for the Extremely Low Bit-Width Deployment of LLMs Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Current approaches to world modeling largely focus on short sequences of language, images, or video clips. This means models miss out on information present in longer sequences. Videos encode sequential context that can’t be easily gleaned from text or static images. Long-form text holds… Read More »This AI Paper from UC Berkeley Advances Machine Learning by Integrating Language and Video for Unprecedented World Understanding with Innovative Neural Networks Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs, trained on extensive public datasets, have shown remarkable success across various fields, but the depletion of high-quality public data is imminent by 2026. Due to this scarcity, researchers combine existing datasets or generate model-created data. However, abundant high-quality data must still be utilized… Read More »Can Machine Learning Evolve Beyond Public Data Limits? This Research from China Introduces OpenFedLLM: Pioneering Collaborative and Privacy-Preserving Training of Large Language Models Using Federated Learning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The seamless integration of Large Language Models (LLMs) into conversational systems has transformed how machines understand and generate human language. This transformation is especially pronounced in general contexts where LLMs excel at generating coherent and contextually appropriate responses. When it comes to task-oriented dialogues… Read More »Revolutionizing Task-Oriented Dialogues: How FnCTOD Enhances Zero-Shot Dialogue State Tracking with Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ AI’s Impact on the Future: Opportunities and Challenges Ahead It’s been a long time… a long time since I wrote anything of significance and shared my insights on where we are, where we are going, and what you can do about it. Now, many of… Read More »Why am I starting a Substack? AI + Humanity and the Experiments we are running. Stefan Kojouharov Becoming Human: Artificial Intelligence Magazine – Medium

​ As our Technologies Converge there is One Way Forward Continue reading on Becoming Human: Artificial Intelligence Magazine »  As our Technologies Converge there is One Way ForwardContinue reading on Becoming Human: Artificial Intelligence Magazine »  Read More llm, bias, ai, ai-philosophy, philosophy