​[[{“value”:” Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.… Read More »Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock Jundong Qiao AWS Machine Learning Blog

​[[{“value”:” Artificial intelligence and machine learning are fields focused on creating algorithms to enable machines to understand data, make decisions, and solve problems. Researchers in this domain seek to design models that can process vast amounts of information efficiently and accurately, a crucial aspect in… Read More »Researchers at UC Berkeley Unveil a Novel Interpretation of the U-Net Architecture Through the Lens of Generative Hierarchical Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neuro-Symbolic Artificial Intelligence (AI) represents an exciting frontier in the field. It merges the robustness of symbolic reasoning with the adaptive learning capabilities of neural networks. This integration aims to harness the strong points of symbolic and neural approaches to create more versatile and… Read More »Understanding Neuro-Symbolic AI: Integrating Symbolic and Neural Approaches Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Free LLM Playgrounds and Their Comparative Analysis As the landscape of AI technology advances, the proliferation of free platforms to test large language models (LLMs) online has greatly increased. These ‘playgrounds’ offer a valuable resource for developers, researchers, and enthusiasts to experiment with different… Read More »Free LLM Playgrounds and Their Comparative Analysis Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are expanding in usage, posing new cybersecurity risks. These risks emerge from their core traits: heightened capability in code generation, heightened deployment for real-time code generation, automated execution within code interpreters, and integration into applications handling untrusted data. This poses… Read More »Meta AI Introduces CyberSecEval 2: A Novel Machine Learning Benchmark to Quantify LLM Security Risks and Capabilities Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The advent of generative artificial intelligence (AI) marks a significant technological leap, enabling the creation of new text, images, videos, and other media by learning from vast datasets. However, this innovative capability brings forth substantial copyright concerns, as it may utilize and repurpose the… Read More »Balancing Innovation and Rights: A Cooperative Game Theory Approach to Copyright Management in Generative AI Technologies Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Charts have become indispensable tools for visualizing data in information dissemination, business decision-making, and academic research. As the volume of multimodal data grows, a critical need arises for automated chart comprehension, which has garnered increasing attention from the research community. Recent advancements in Multimodal… Read More »This AI Paper from China Introduces TinyChart: An Efficient Multimodal Large Language Models MLLMs for Chart Understanding with Only 3B Parameters Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. Yet, their immense size incurs substantial computational expenses. With billions of parameters, these models demand extensive computational resources for operation. Adapting them to specific downstream tasks… Read More »Exploring Parameter-Efficient Fine-Tuning Strategies for Large Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Extracting information quickly and efficiently from websites and digital documents is crucial for businesses, researchers, and developers. They require specific data from various online sources to analyze trends, monitor competitors, or gather insights for strategic decisions. Collecting this data can be time-consuming and prone… Read More »ScrapeGraphAI: A Web Scraping Python Library that Uses LLMs to Create Scraping Pipelines for Websites, Documents, and XML Files Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Edge artificial intelligence (Edge AI) involves implementing AI algorithms and models on local devices like sensors or IoT devices at the network’s periphery. This setup allows for immediate data processing and analysis, reducing dependence on cloud infrastructure. Consequently, it empowers devices to make intelligent… Read More »Edge AI and It’s Advantages over Traditional AI Sajjad Ansari Artificial Intelligence Category – MarkTechPost