​[[{“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

​[[{“value”:” In a stunning announcement reverberating through the tech world, Kyutai introduced Moshi, a revolutionary real-time native multimodal foundation model. This innovative model mirrors and surpasses some of the functionalities showcased by OpenAI’s GPT-4o in May. Moshi is designed to understand and express emotions, offering… Read More »Kyutai Open Sources Moshi: A Real-Time Native Multimodal Foundation AI Model that can Listen and Speak Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving field of artificial intelligence, the accessibility and privacy of large language models (LLMs) have become pressing concerns. As major corporations seek to monopolize AI technology, there’s a growing need for open-source, locally-run alternatives prioritizing user privacy and control. This is… Read More »Privacy Meets Performance: GPT4All 3.0 Redefines Local AI Interaction Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Foreigners and expats living outside of their home country deal with a large number of emails in various languages daily. They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. To… Read More »Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions Feng Lu AWS Machine Learning Blog

​[[{“value”:” Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Today, LLMs are being used in real settings by companies, including the heavily-regulated healthcare and… Read More »Medical content creation in the age of generative AI Sarah Boufelja AWS Machine Learning Blog

​[[{“value”:” Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation,… Read More »Introducing guardrails in Knowledge Bases for Amazon Bedrock Hardik Vasa AWS Machine Learning Blog

​[[{“value”:” MultiOn AI has recently announced the release of its latest innovation, the Retrieve API, an autonomous web information retrieval API designed to revolutionize how developers and businesses extract and utilize web data. This groundbreaking API complements the previously launched Agent API, offering a comprehensive… Read More »Retrieve API by MultiOn AI Transforms Autonomous Web Information Retrieval with Real-Time Processing and Unparalleled Accuracy: Empowering Developers to Build Advanced Web Agents and Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost