Advanced
A Coding Implementation of an Advanced Tool-Using AI Agent with Semantic Kernel and Gemini
In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as tools, like web search, math evaluation, file I/O, and note-taking, and then let Gemini orchestrate them through structured JSON outputs. We…
Building Advanced Multi-Agent AI Workflows by Leveraging AutoGen and Semantic Kernel
In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin classes to bridge the generative power of Gemini with AutoGen’s multi-agent orchestration. From there, we configure specialist agents, ranging from code reviewers to creative analysts, demonstrating…
How to Build an Advanced BrightData Web Scraper with Google Gemini for AI-Powered Data Extraction
In this tutorial, we walk you through building an enhanced web scraping tool that leverages BrightData’s powerful proxy network alongside Google’s Gemini API for intelligent data extraction. You’ll see how to structure your Python project, install and import the necessary libraries, and encapsulate scraping logic within a clean, reusable BrightDataScraper class. Whether you’re targeting Amazon…
ether0: A 24B LLM Trained with Reinforcement Learning RL for Advanced Chemical Reasoning Tasks
LLMs primarily enhance accuracy through scaling pre-training data and computing resources. However, the attention has shifted towards alternate scaling due to finite data availability. This includes test-time training and inference compute scaling. Reasoning models enhance performance by emitting thought processes before answers, initially through CoT prompting. Recently, reinforcement learning (RL) post-training has been used. Scientific…
Enhancing AI Inference: Advanced Techniques and Best Practices
When it comes to real-time AI-driven applications like self-driving cars or healthcare monitoring, even an extra second to process an input could have serious consequences. Real-time AI applications require reliable GPUs and processing power, which has been very expensive and cost-prohibitive for many applications – until now. By adopting an optimizing inference process, businesses can…
Cooler Master’s X Silent Edge Platinum is a showcase of advanced thermal engineering, but it comes with a steep price tag
Why you can trust Tom’s Hardware Our expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out more about how we test. Cooler Master, founded in 1992, is a well-known manufacturer specializing in high-performance PC hardware components and cooling solutions. The company offers a wide…
The ethics of advanced AI assistants
Responsibility & Safety Published 19 April 2024 Authors Iason Gabriel and Arianna Manzini Exploring the promise and risks of a future with more capable AI Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These…
Harnessing AI for Proactive Threat Intelligence and Advanced Cyber Defense
Discover how AI revolutionizes cybersecurity with real-time threat detection, adaptive protection, and advanced data protection to combat evolving cybersecurity risks. Cybersecurity threats are no longer luxuries of the big corporations and reach every part of our connected world making big and small businesses both vulnerable. With attacks becoming smarter and more sophisticated, traditional security measures…
Evolving Usability: Advanced Heuristics for Pro-Level Interfaces | Web Designer Depot
In the world of User Experience (UX) design, Jakob Nielsen’s 10 Usability Heuristics for User Interface Design have long been the cornerstone for crafting intuitive, user-friendly digital interfaces. These principles—spanning visibility of system status, match between the system and the real world, user control, and error prevention—are as foundational to UX as grammar is to…
Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators
Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools often struggle with the demands of advanced analytics, particularly when tasks extend beyond simple queries to include semantic understanding, ranking, and clustering. While systems like Pandas or SQL-based tools handle relational data well, they face…