​[[{“value”:” Self-supervised learning (SSL) has expanded the reach of speech technologies to many languages by minimizing the need for labeled data. However, current models only support 100-150 of the world’s 7,000+ languages. This limitation is largely due to the scarcity of transcribed speech, as only… Read More »CMU Researchers Propose XEUS: A Cross-lingual Encoder for Universal Speech trained in 4000+ Languages Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI jailbreaking involves crafting prompts that trick the AI into ignoring its safety guidelines, allowing the user to potentially generate harmful or unsafe content the model was designed to avoid. Jailbreaking could enable users to access instructions for illegal activities, like creating weapons… Read More »Microsoft AI Reveals Skeleton Key: A New Type of Generative AI Jailbreak Technique Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The design and deployment of efficient AI agents have become a critical focus in the LLM world. Recently, Anthropic has highlighted several highly effective design patterns that are being utilized successfully in real-world applications. While discussed in the context of Claude’s models, these patterns… Read More »Top 5 Effective Design Patterns for LLM Agents in Real-world Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are rapidly developing with advances in both the models’ capabilities and applications across multiple disciplines. In a recent LinkedIn post, a user discussed recent trends in LLM research, including various types of LLMs and their examples.  Multi-Modal LLMs  With the… Read More »The Next Big Trends in Large Language Model (LLM) Research Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs), trained on vast amounts of data, have shown remarkable abilities in natural language generation and understanding. General-purpose corpora, comprising a diverse range of online text, are utilized for their training, examples of which are Wikipedia and CommonCrawl. Although these universal… Read More »NASA and IBM Researchers Introduce INDUS: A Suite of Domain-Specific Large Language Models (LLMs) for Advanced Scientific Research Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While large language models (LLMs) have been proven to be pivotal in natural language processing (NLP), these models require immense computational resources and time for training, posing a significant and one of the most crucial challenges for researchers and developers. This enormous computational cost… Read More »Spectrum: An AI Method that Accelerates LLM Training by Selectively Targeting Layer Modules based on their Signal-to-Noise Ratio (SNR) Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI agents have become particularly significant in the portfolio of AI applications. AI agents are systems designed to perceive their environment, make decisions, and act autonomously to achieve specific goals. Understanding AI agents involves dissecting their fundamental components: Conversation, Chain, and Agent. Each element… Read More »Understanding AI Agents: The Three Main Components – Conversation, Chain, and Agent Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Synthetic data generation is gaining prominence in the field of machine learning. This technique creates vast datasets when real-world data is limited and expensive. Researchers can train machine learning models more effectively by generating synthetic data, enhancing their performance across various applications. The generated… Read More »Cohere for AI Enhances Large Language Models LLMs with Active Inheritance: Steering Synthetic Data Generation for Optimal Performance and Reduced Bias Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have demonstrated remarkable capabilities in language understanding, reasoning, and generation tasks. Researchers are now focusing on developing LLM-based autonomous agents to tackle more diverse and complex real-world applications. However, many real-world scenarios present challenges that exceed the capabilities of a… Read More »EvoAgent: A Generic Method to Automatically Extend Expert Agents to Multi-Agent Systems via the Evolutionary Algorithm Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Automation and AI in Fungi-Based Bioprocesses: Advancing Towards Sustainable Biomanufacturing: Integrating automation and AI in fungi-based bioprocesses marks a significant advancement in biomanufacturing, particularly in achieving sustainability goals through circular economy principles. Filamentous fungi possess remarkable metabolic versatility, making them ideal candidates for converting… Read More »Advancing Sustainability Through Automation and AI in Fungi-Based Bioprocessing Sana Hassan Artificial Intelligence Category – MarkTechPost