​[[{“value”:” This post is co-written with Joe Clark from Domo. Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Traditionally, gaining these insights required skilled analysts using specialized tools, which can make the process slow and less accessible. Generative… Read More »Exploring data using AI chat at Domo with Amazon Bedrock Joe Clark AWS Machine Learning Blog

​[[{“value”:” Apple’s latest release, the iPhone 16, places a strong emphasis on on-device artificial intelligence (AI), powered by its new Apple Intelligence platform. Unlike cloud-reliant AI systems, Apple is focusing on maintaining privacy by processing AI functions directly on the device with the A18 Bionic… Read More »Apple Unveils iPhone 16 with On-Device AI and Apple Intelligence Prompts Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text classification has become a crucial tool in various applications, including opinion mining and topic classification. Traditionally, this task required extensive manual labeling and a deep understanding of machine learning techniques, presenting significant barriers to entry. The advent of large language models (LLMs) like… Read More »Political DEBATE Language Models: Open-Source Solutions for Efficient Text Classification in Political Science Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of Artificial Intelligence (AI-driven) agentic systems has seen significant change in recent times. The deployment of sophisticated, scalable systems depends heavily on workflows. A team of researchers has introduced llama-deploy, a unique and user-friendly solution designed to make agentic workflows constructed using… Read More »Llama-Deploy: A Fully Open-Source Way to Deploy Your Agents as Production Microservices Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as particularly powerful, with OpenAI’s SoRA being a notable application. DiTs, constructed by stacking multiple transformer blocks, utilize the scaling… Read More »VQ4DiT: A Fast Post-Training Vector Quantization Method for DiTs (Diffusion Transformers Models) Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents LLMOps with DSPy: Build RAG Systems Using Declarative Programming Introduction to DSPy: LLMOps Without Prompt Tuning Building Blocks of DSPy Language Models Signatures Modules Data Metrics Optimizers Building a RAG Framework for Biomedical Question Answering with DSPy Overview and Setup… Read More »LLMOps with DSPy: Build RAG Systems Using Declarative Programming Puneet Mangla PyImageSearch

​[[{“value”:” Large language models (LLMs) have demonstrated remarkable reasoning capabilities across various domains. But do they also possess metacognitive knowledge – an understanding of their thinking processes? This intriguing question is explored in a new paper that investigates the metacognitive capabilities of LLMs, specifically in… Read More »From Computation to Comprehension: Metacognitive Insights in LLM-based Mathematical Problem Solving Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. From autonomous vehicles to medical imaging, its applications are vast and growing. Learning computer vision is essential as it equips you with the skills to develop… Read More »Top Computer Vision Courses Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models (LMs) have gained significant attention in recent years due to their remarkable capabilities. While training these models, neural sequence models are first pre-trained on a large, minimally curated web text, and then fine-tuned using specific examples and human feedback. However, these models… Read More »This AI Paper from MIT Explores the Complexities of Teaching Language Models to Forget: Insights from Randomized Fine-Tuning Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Training FLUX LoRAs has been challenging for users with limited VRAM resources. The process typically requires significant computational power, with existing solutions often demanding a minimum of 24GB VRAM, making it inaccessible for many users who wish to train their models locally. This limitation… Read More »Flux Gym: A Gradio App for Training Your Flux LoRAs on Your 12G, 16G, 20G+ VRAM Computer for Free Niharika Singh Artificial Intelligence Category – MarkTechPost