The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in text, which is crucial for comprehending complex language patterns. These models work efficiently with massive datasets and achieve remarkable performance without needing task-specific structures. As a result, they are widely applied across industries, including software development, education, and content […] The post From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation appeared first on MarkTechPost. read more

In this tutorial, we delve into building an advanced data analytics pipeline using Polars, a lightning-fast DataFrame library designed for optimal performance and scalability. Our goal is to demonstrate how we can utilize Polars’ lazy evaluation, complex expressions, window functions, and SQL interface to process large-scale financial datasets efficiently. We begin by generating a synthetic […] The post Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions, and SQL Integration appeared first on MarkTechPost. read more

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided by the python-a2a library. With simple @agent and @skill decorators, you can define your agent’s […] The post How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol appeared first on MarkTechPost. read more

The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. However, these models frequently generate outdated or inaccurate information and can reflect biases during deployment, so their knowledge needs to be updated continuously. Traditional fine-tuning methods are expensive and susceptible to catastrophic forgetting. This has […] The post EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs appeared first on MarkTechPost. read more

The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud infrastructure for training and inference. This reliance leads to latency, high costs, and privacy concerns, […] The post OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference appeared first on MarkTechPost. read more

Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural audio have become a major goal in intelligent interaction systems. Audio-language modeling extends this vision by combining speech recognition, natural language understanding, and audio generation. Rather than relying on text conversions, models in this space aim to understand and […] The post StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction appeared first on MarkTechPost. read more

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, […] The post EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments appeared first on MarkTechPost. read more

In this tutorial, we introduce TinyDev class implementation, a minimal yet powerful AI code generation tool that utilizes the Gemini API to transform simple app ideas into comprehensive, structured applications. Designed to run effortlessly in Notebook, TinyDev follows a clean three-phase workflow—Plan → Files → Code—to ensure consistency, functionality, and modular design. Whether building a […] The post Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDev appeared first on MarkTechPost. read more

The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems […] The post OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs appeared first on MarkTechPost. read more

A lone AI filmmaker, a cutting-edge generative video model, and a national TV spot during one of the year’s biggest sporting events. This isn’t the plot of a sci-fi movie; it’s the new reality of advertising, and it was created in just 3 days. TLDR: In a landmark moment for both the advertising and AI, […] The post AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95% appeared first on MarkTechPost. read more