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AI agent

LLMOps Boom: The 2025 AI Agent Platform Landscape Unveiled

LLMOps Boom: The 2025 AI Agent Platform Landscape Unveiled

Key Facts & Takeaways Market Spend by Stack Layer: From Data to Deployment The LLMOps ecosystem can be viewed in stack layers – from the infrastructure and data foundations up through model orchestration and finally evaluation/monitoring. Each layer is attracting significant investment as enterprises build out end-to-end GenAI capabilities: Enterprise Adoption Trends and Use Cases Across Industries Enterprise adoption of large language models and AI agents has accelerated dramatically in the past 18 months, cutting across virtually every sector. Where are companies actually deploying LLMs, and to what end? A few key trends and use cases stand out: Despite these
Everything You Need to Know About Google Gemini CLI: Features, News, and Expert Insights

Google’s Gemini CLI Just Dropped—Here’s Why This Free, Open‑Source AI Agent Could Replace Your Favorite Coding Tool

Gemini CLI is a command‑line AI agent that passes natural-language prompts to Gemini 2.5 Pro and returns structured responses, code, or multimedia within the terminal. Gemini 2.5 Pro supports a 1,000,000-token context window, about 50–100× larger than mainstream LLMs, enabling repository-scale reasoning. The CLI integrates with Veo for video, Imagen for images, and Google Search via the Model Context Protocol (MCP) to handle multimodal tasks. During the preview, individuals can issue 60 requests per minute and 1,000 per day. Google released the entire Gemini CLI codebase under the Apache 2.0 license on GitHub, inviting pull requests and forks. Taylor Mullen,
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