TaskGen: An Open-Sourced Agentic Framework that Uses an AI Agent to Solve an Arbitrary Task by Breaking it Down into Subtasks Shreya Maji Artificial Intelligence Category – MarkTechPost

[[{“value”:” Current AI task management methods, such as AutoGPT, BabyAGI, and LangChain, typically rely on free-text outputs, which can be lengthy and less efficient. These frameworks often face challenges in maintaining context and managing the vast action space associated with arbitrary tasks. This research paper… Read More »TaskGen: An Open-Sourced Agentic Framework that Uses an AI Agent to Solve an Arbitrary Task by Breaking it Down into Subtasks Shreya Maji Artificial Intelligence Category – MarkTechPost

This AI Paper from the Netherlands Introduce an AutoML Framework Designed to Synthesize End-to-End Multimodal Machine Learning ML Pipelines Efficiently Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

[[{“value”:” Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a major obstacle that many current AutoML systems encounter is the efficient and correct handling of multimodal data. There are currently no… Read More »This AI Paper from the Netherlands Introduce an AutoML Framework Designed to Synthesize End-to-End Multimodal Machine Learning ML Pipelines Efficiently Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

[[{“value”:” As AI systems become more advanced, ensuring their safe and ethical deployment has become a critical concern for researchers and policymakers. One of the pressing issues in AI governance is the management of risks associated with increasingly powerful AI systems. These risks include potential… Read More »This AI Paper from Cohere AI Introduces a Multi-faceted Approach to AI Governance by Rethinking Compute Thresholds Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis, and conversational AI. LLMs, characterized by their extensive training data and billions of parameters, are notoriously computationally intensive, posing challenges… Read More »Nvidia AI Releases Minitron 4B and 8B: A New Series of Small Language Models that are 40x Faster Model Training via Pruning and Distillation Asif Razzaq Artificial Intelligence Category – MarkTechPost

The process of human speech production involves coordinated respiratory action to elicit acoustic speech signals. Typically, speech is produced when air is forced from the lungs and is modulated by the vocal tract, where such actions are interspersed by moments of breathing in air (inhalation)… Read More »Pre-Trained Foundation Model Representations to Uncover Breathing Patterns in Speech Apple Machine Learning Research

[[{“value”:” Long-context understanding and retrieval-augmented generation (RAG) in large language models (LLMs) is rapidly advancing, driven by the need for models that can handle extensive text inputs and provide accurate, efficient responses. These capabilities are essential for processing large volumes of information that cannot fit… Read More »Nvidia AI Proposes ChatQA 2: A Llama3-based Model for Enhanced Long-Context Understanding and RAG Capabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Mistral AI’s Mistral Large 2 (24.07) foundation model (FM) is now generally available in Amazon Bedrock. Mistral Large 2 is the newest version of Mistral Large, and according to Mistral AI offers significant improvements across multilingual capabilities, math, reasoning, coding, and much more. In… Read More »Mistral Large 2 is now available in Amazon Bedrock Niithiyn Vijeaswaran AWS Machine Learning Blog

[[{“value”:” Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance… Read More »LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow Jagdeep Singh Soni AWS Machine Learning Blog

[[{“value”:” Amazon Q is a fully managed, generative artificial intelligence (AI) powered assistant that you can configure to answer questions, provide summaries, generate content, gain insights, and complete tasks based on data in your enterprise. The enterprise data required for these generative-AI powered assistants can… Read More »Discover insights from Amazon S3 with Amazon Q S3 connector Kruthi Jayasimha Rao AWS Machine Learning Blog

[[{“value”:” Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large corpora, SFT, and RLHF to refine generation quality. RLHF involves training a reward model (RM) based… Read More »Researchers at Google Deepmind Introduce BOND: A Novel RLHF Method that Fine-Tunes the Policy via Online Distillation of the Best-of-N Sampling Distribution Sana Hassan Artificial Intelligence Category – MarkTechPost