Public opinion on whether it pays to be polite to AI shifts almost as often as the latest verdict on coffee or red wine – celebrated one month, challenged the next. Even so, a growing number of users now add ‘please’ or ‘thank you’ to their…
Category: AI
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5 Problems Encountered Fine-Tuning LLMs with Solutions
Fine-tuning remains a cornerstone technique for adapting general-purpose pre-trained large language models (LLMs) models (also called foundation models) to serve more specialized, high-value downstream tasks, even as zero- and few-shot methods…
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Beyond the Hype: Google’s Practical AI Guide Every Startup Founder Should Read
In 2025, AI continues to reshape how startups build, operate, and compete. Google’s Future of AI: Perspectives for Startups report presents a comprehensive roadmap, drawing on insights from infrastructure leaders, startup…
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Google NotebookLM Launches Audio Overviews in 50+ Languages, Expanding Global Accessibility for AI Summarization
Google has significantly expanded the capabilities of its experimental AI tool, NotebookLM, by introducing Audio Overviews in over 50 languages. This marks a notable leap in global content accessibility, making the platform far more…
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Tutorial on Seamlessly Accessing Any LinkedIn Profile with exa-mcp-server and Claude Desktop Using the Model Context Protocol MCP
In this tutorial, we’ll learn how to harness the power of the exa-mcp-server alongside Claude Desktop to access any LinkedIn page programmatically. The exa-mcp-server provides a lightweight, high-performance implementation of the…
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Can Coding Agents Improve Themselves? Researchers from University of Bristol and iGent AI Propose SICA (Self-Improving Coding Agent) that Iteratively Enhances Its Own Code and Performance
The development of agentic systems—LLMs embedded within scaffolds capable of tool use and autonomous decision-making—has made significant progress. Yet, most implementations today rely on fixed, hand-crafted orchestration…
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Worms, Springs, and Soft Robots: Tiny Creatures Inspire Giant Leaps
Researchers at Georgia Tech recently unveiled an impressive achievement: a 5-inch-long soft robot that can catapult itself 10 feet into the air – the height of a basketball hoop – without any legs. The design was inspired by the humble…
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Reinforcement Learning for Email Agents: OpenPipe’s ART·E Outperforms o3 in Accuracy, Latency, and Cost
OpenPipe has introduced ART·E (Autonomous Retrieval Tool for Email), an open-source research agent designed to answer user questions based on inbox contents with a focus on accuracy, responsiveness, and computational efficiency….
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How to Create a Custom Model Context Protocol (MCP) Client Using Gemini
In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will be able to connect your own AI applications with MCP servers, unlocking powerful new…
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UniME: A Two-Stage Framework for Enhancing Multimodal Representation Learning with MLLMs
The CLIP framework has become foundational in multimodal representation learning, particularly for tasks such as image-text retrieval. However, it faces several limitations: a strict 77-token cap on text input, a dual-encoder design…
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