​[[{“value”:” Building web applications can be challenging, especially for users unfamiliar with JavaScript, CSS, or HTML. It’s difficult to quickly create functional and visually appealing web apps, particularly when time is limited. Hence, delays in the development process can hinder productivity and innovation. Several tools… Read More »Meet Mesop: A Python-based UI Framework that Allows You to Build Web Apps like Demos and Internal AI/ Machine Learning Apps Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in large language models (LLMs) have significantly transformed the field of natural language processing (NLP), but their performance on existing benchmarks has begun to plateau. This stagnation makes it difficult to discern differences in model capabilities, hindering progress in AI research. Benchmarks… Read More »MMLU-Pro: An Enhanced Benchmark Designed to Evaluate Language Understanding Models Across Broader and More Challenging Tasks Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Research on Autonomous systems revolves around enhancing the capabilities of autonomous agents to explore complex environments effectively. This includes leveraging advanced algorithms and large-scale pre-trained models to improve the agents’ decision-making and exploration strategies. The goal is to create systems that can navigate and… Read More »From Simple Rules to Smart Exploration: Intelligent Go-Explore IGE Bridges the Gap with Foundation Models in Autonomous Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI is a pivotal tool for biotechnology, offering transformative solutions to many challenges. From drug discovery and safety to genomics, proteomics, and pharmacology, AI’s applications span a broad spectrum within the field. The effective utilization of advanced AI solutions is paramount for the continued… Read More »Transformative Use Cases of Artificial Intelligence AI Across Biotechnology Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Grokking is a newly developed phenomenon where a model starts to generalize well long after it has overfitted to the training data. It was first seen in a two-layer Transformer trained on a simple dataset. In grokking, generalization occurs only after many more training… Read More »GROKFAST: A Machine Learning Approach that Accelerates Grokking by Amplifying Slow Gradients Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Tsinghua University’s Knowledge Engineering Group (KEG) has unveiled GLM-4 9B, a powerful new language model that outperforms GPT-4 and Gemini in various benchmarks. Developed by the Tsinghua Deep Model (THUDM) team, this open-source model marks a significant milestone in the field of natural language… Read More »Meet Tsinghua University’s GLM-4-9B-Chat-1M: An Outstanding Language Model Challenging GPT 4V, Gemini Pro (on vision), Mistral and Llama 3 8B Mohammad Asjad and Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Phishing is the process of attempting to acquire sensitive information such as usernames, passwords and credit card details by masquerading as a trustworthy entity using email, telephone or text messages. There are many types of phishing based on the mode of communication and targeted… Read More »Detect email phishing attempts using Amazon Comprehend Ajeet Tewari AWS Machine Learning Blog

​Photo by Jeremy Bishop on Unsplash Deep Deterministic Policy Gradient (DDPG) is a Reinforcement learning algorithm for learning continuous actions. You can learn more about it in the video below on YouTube: https://youtu.be/4jh32CvwKYw?si=FPX38GVQ-yKESQKU Here are 3 important considerations you will have to work on while solving a… Read More »3 Important Considerations in DDPG Reinforcement Algorithm Manjeet Singh Nagi Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” The development of large language models (LLMs) has been a focal point in advancing NLP capabilities. However, training these models poses substantial challenges due to the immense computational resources and costs involved. Researchers continuously explore more efficient methods to manage these demands while maintaining… Read More »Skywork Team Introduces Skywork-MoE: A High-Performance Mixture-of-Experts (MoE) Model with 146B Parameters, 16 Experts, and 22B Activated Parameters Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning has seen significant advancements, with Transformers emerging as a dominant architecture in language modeling. These models have revolutionized natural language processing by enabling machines to understand and generate human language accurately. The efficiency and scalability of these models remain a significant challenge,… Read More »Beyond Quadratic Bottlenecks: Mamba-2 and the State Space Duality Framework for Efficient Language Modeling Nikhil Artificial Intelligence Category – MarkTechPost