Chatboty

Retrieval-Augmented Generation (RAG): The Search‑Enhanced AI Revolution in Chatbots and Enterprise Applications
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Retrieval-Augmented Generation (RAG): Rewolucja AI wspierana wyszukiwaniem w chatbotach i aplikacjach biznesowych

RAG oznacza Retrieval-Augmented Generation, hybrydowe podejście AI, które łączy duży model językowy z wyszukiwarką lub bazą danych, aby pobierać zewnętrzną wiedzę dla uzasadnionych, aktualnych odpowiedzi. W 2025 roku RAG stał się strategicznym imperatywem dla nowoczesnej sztucznej inteligencji, napędzając inteligentne chatboty, asystentów korporacyjnych
11 października, 2025

Technology News

  • Thinking Machines Lab co-founder Tulloch departs for Meta, WSJ reports
    October 11, 2025, 10:06 PM EDT. Reuters reports that Andrew Tulloch, co-founder of Thinking Machines Lab led by Mira Murati, has left the AI startup to join Meta Platforms. A Thinking Machines Lab spokesperson confirmed the departure; Reuters could not immediately verify the report, and Meta did not comment. The WSJ had earlier said Zuckerberg sought to buy Thinking Machines Lab or hire its staff, including Tulloch, offering a package potentially worth $1.5 billion over six years. Meta has been aggressively recruiting from rivals to close the AI gap, with OpenAI CEO Sam Altman noting bonuses of up to $100 million to lure engineers. The move comes as Meta’s Llama 4 performance has underwhelmed, even as the company accelerates AI hiring.
  • Are we in an AI bubble? Eight warning signs to watch
    October 11, 2025, 10:05 PM EDT. From record stock highs to sky‑high valuations, eight warning signs suggest we may be in an AI bubble. The biggest players—Nvidia and OpenAI—sit atop a market where the S&P 500 and others are riding a tech-led rally, with valuations nudging eye‑watering levels. Concentration risk is acute: the top ten US stocks (mostly tech) now dominate global equity markets. Investment in AI infrastructure is ballooning toward trillions, while circular financing deals resemble patterns seen in past bubbles. Debt is mounting, even as profitable giants fund AI growth from solid balance sheets; skeptics warn that this mix of momentum and risk could echo historical crashes. Whether leverage, hype, or real innovation drives it, the debate remains unsettled.
  • iPhone 17 Center Stage: Switch selfies between portrait and landscape without rotating your phone
    October 11, 2025, 10:04 PM EDT. Discover iPhone 17's Center Stage front camera, an 18MP sensor that lets you switch between portrait and landscape selfies without rotating your phone. This guide walks you through: open the Camera app, switch to the front camera, use the Orientation switch to toggle modes, and use the Zoom control to adjust framing. You can also access Center Stage options to enable auto-zoom and auto-rotate in the top settings, though these may disable manual Orientation/Zoom. With these steps, you can capture sharper selfies and steadier video calls while you keep a comfortable grip.
  • Best Android Smartwatches of 2025: Pixel Watch 4, Galaxy Watch 8, Garmin Venu 3 & More
    October 11, 2025, 9:56 PM EDT. The Android smartwatch landscape in 2025 covers flagship models like the Google Pixel Watch 4 and Samsung Galaxy Watch 8/Classic, plus solid midrange picks such as the OnePlus Watch 3, Amazfit Bip 6, and Garmin Venu 3. Designs range from round to squircle screens and sizes from 40mm to 50mm, with materials including Aluminium, Stainless Steel, and Titanium. Expect vivid AMOLED/LTPO displays, long battery life, and multi-sensor health tracking: SpO2, ECG, accelerometer, gyroscope, and barometer. Key features include GPS (dual-band), water resistance up to 50m, sleep tracking, period tracking, and emergency SOS/fall detection. Most models support Google Wallet/Samsung Wallet, interchangeable bands, and voice assistants, making them versatile for fitness, health, and daily wear.
  • IBM and Vanguard Explore Quantum Optimization for Finance
    October 11, 2025, 9:55 PM EDT. IBM and Vanguard are partnering to apply quantum computing to one of finance’s toughest problems: portfolio optimization under real-world constraints. Using a sampling-based variational quantum algorithm (VQA), the study shows that quantum-classical hybrid workflows can achieve solutions competitive with traditional methods for complex asset-allocation tasks. The effort highlights how discrete decisions, nonlinear constraints, and multi-objective goals—such as maximizing return while controlling risk—make portfolio construction hard for classical solvers as the candidate set grows. By blending quantum sampling with classical optimization and post-processing, the approach offers a new class of heuristics that may explore intricate solution landscapes more efficiently. The work points toward practical applications in asset management and beyond, paving the way for broader adoption of quantum techniques in finance.