​[[{“value”:” Transformer-based Large Language Models (LLMs) have emerged as the backbone of Natural Language Processing (NLP). These models have shown remarkable performance over a variety of NLP tasks. The creative self-attention mechanism that enables effective all-to-all communication between tokens in a sequence is primarily responsible… Read More »This AI Paper Presents a Direct Experimental Comparison between 8B-Parameter Mamba, Mamba-2, Mamba-2-Hybrid, and Transformer Models Trained on Upto 3.5T Tokens Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the rapid advancements in artificial intelligence, LLMs such as GPT-4 and LLaMA have significantly enhanced natural language processing. These models, boasting billions of parameters, excel in understanding and generating language, enabling new capabilities in complex tasks like mathematical problem-solving, recommendation systems, and molecule… Read More »Enhancing Mathematical Reasoning in LLMs: Integrating Monte Carlo Tree Search with Self-Refinement Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Microsoft Research has announced the release of AutoGen Studio, a low-code interface designed to streamline the creation, testing, and deployment of multi-agent AI workflows. Building on the success of the AutoGen framework, this new tool aims to democratize the development of complex AI solutions… Read More »Microsoft Research Launches AutoGen Studio: A Low-Code Platform Revolutionizing Multi-Agent AI Workflow Development and Deployment Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Code intelligence focuses on creating advanced models capable of understanding and generating programming code. This interdisciplinary area leverages natural language processing and software engineering to enhance programming efficiency and accuracy. Researchers have developed models to interpret code, generate new code snippets, and debug existing… Read More »Meet DeepSeek-Coder-V2 by DeepSeek AI: The First Open-Source AI Model to Surpass GPT4-Turbo in Coding and Math, Supporting 338 Languages and 128K Context Length Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning has seen significant advancements in integrating Bayesian approaches and active learning methods. Two notable research papers contribute to this development: “Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles” by University of Copenhagen researchers and “Deep Bayesian Active Learning for Preference Modeling in Large… Read More »Advances in Bayesian Deep Neural Network Ensembles and Active Learning for Preference Modeling Aswin Ak Artificial Intelligence Category – MarkTechPost

​ As Peter Drucker famously said — “What gets measured, gets managed.” Tracking the effectiveness of your customer service platforms, with the right metrics in place, can lead organizations to gain valuable insights and optimize their customer service strategy. This will ultimately lead to superior customer experiences.… Read More »9 Must Track Metrics of Customer Service Platform Devashish Datt Mamgain Chatbots Life – Medium

​[[{“value”:” As of this writing, Ghana ranks as the 27th most polluted country in the world, facing significant challenges due to air pollution. Recognizing the crucial role of air quality monitoring, many African countries, including Ghana, are adopting low-cost air quality sensors. The Sensor Evaluation… Read More »Improving air quality with generative AI Sandra Topic AWS Machine Learning Blog

​[[{“value”:” Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an… Read More »Use zero-shot large language models on Amazon Bedrock for custom named entity recognition Sujitha Martin AWS Machine Learning Blog

​[[{“value”:” In the rapidly evolving digital landscape, travel companies are exploring innovative approaches to enhance customer experiences. One promising solution is the integration of generative artificial intelligence (AI) to create virtual travel agents. These AI-powered assistants use large language models (LLMs) to engage in natural… Read More »Safeguard a generative AI travel agent with prompt engineering and Guardrails for Amazon Bedrock Antonio Rodriguez AWS Machine Learning Blog

​[[{“value”:” Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on… Read More »Streamline financial workflows with generative AI for email automation Hariharan Nammalvar AWS Machine Learning Blog