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That’s why we’ve reimagined what an assistant can be on your phone, rebuilt with Google's most capable AI models. State-of-the-art image generation and editing models, built on Gemini 3.5 Flash is helping Ramp enable smarter, more reliable OCR through multimodal understanding of complex invoices combined with reasoning over historical patterns. Salesforce is integrating 3.5 Flash into Agentforce to reliably automate complicated enterprise tasks by deploying multiple subagents that retain context and execute complex, multi-turn tool calling. Macquarie Bank is piloting how 3.5 Flash can accelerate customer onboarding by reasoning over complex 100+ page documents, retrieving relevant information and making reliable recommendations with low latency. “Gemini 3.5 Flash-Lite delivers the intelligence, speed, and cost efficiency needed for Ashler’s agentic retrieval and tool-use tasks.
Gemini 2.5 Pro Experimental was released on March 25, 2025, as Google's first explicitly designated "thinking model", capable of reasoning through steps before responding using chain-of-thought techniques. Unlike adrian's casino previous Gemini models, 2.0 Flash supported native multimodal outputs, including generated images and text-to-speech audio, in addition to multimodal inputs. Reuters calculated that adding ChatGPT-like features to Google Search could cost the company $6 billion in additional expenses by 2024, while research and consulting firm SemiAnalysis calculated that it would cost Google $3 billion. Commentators have highlighted the models' benchmarks in coding and retrieval tasks as competitive with OpenAI's GPT-4 and GPT-5.
These images were derided on social media, including by conservatives who cited them as evidence of Google's "wokeness". The New York Times conducted a test with ChatGPT and Gemini regarding their ability to handle tasks expected of human assistants, and concluded that ChatGPT's performance was vastly superior to that of Gemini. While these operational models became immediately available via the Gemini API and other platforms, the release of the flagship Gemini 3.5 Pro was delayed due to ongoing testing. The model achieved an ARC-AGI-2 score of 77.1 percent, more than double that of Gemini 3 Pro, and 80.6 percent on SWE-Bench Verified, a benchmark for autonomous software engineering tasks. On February 19, 2026, Google launched Gemini 3.1 Pro in preview, characterizing it as a step forward in core reasoning.
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Given an array arr and an integer k, we need to calculate the maximum sum of a subarray having size exactly k. Each element enters the window once (right pointer) and leaves at most once (left pointer), so the two pointers move at most 2n steps total. Phrases like "longest substring," "smallest subarray," "maximum sum of k consecutive elements," or "at most k distinct" are near-certain tells. It applies whenever the answer is a contiguous subarray or substring under a max, min, longest, or shortest constraint. You expand the right edge greedily and shrink the left edge only when a constraint breaks, so the width changes as the window moves. Use it when the problem hands you a concrete size — "maximum sum of any k consecutive elements," "maximum average subarray of length k," "find all anagrams of a pattern."