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India’s AI boom is unstoppable, with the market projected to reach $7.8 billion by 2025, driven by large language models (LLMs) powering everything from chatbots to predictive analytics. But traditional LLMs have a glaring flaw: they’re forgetful, resetting after each session like a goldfish in a digital bowl. Enter persistent memory in LLMs—a breakthrough allowing models to retain information across interactions, mimicking human-like recall. For Indian developers in Bengaluru, educators in Delhi, or startups in Hyderabad, this means building smarter AI that remembers user preferences, conversations, and contexts. As 5G blankets the nation and 900 million users embrace digital tools, persistent memory is set to supercharge Bharat’s AI applications, from personalized e-learning to efficient customer service. Let’s explore how persistent memory in LLMs is reshaping India’s tech landscape, making AI more intuitive and impactful. What is Persistent Memory in LLMs? At its core, persistent m...

India’s AI ecosystem is exploding, with the market set to reach $7.8 billion by 2025, and tools like the Tavily AI search engine are at the forefront. As Indian developers in Bengaluru and Hyderabad build intelligent apps, Tavily stands out as a specialized search engine designed for AI agents and large language models (LLMs). Unlike traditional search APIs like Google or SerpAPI, Tavily focuses on delivering real-time, factual results optimized for retrieval-augmented generation (RAG) workflows, making it ideal for creating accurate chatbots and data analysts. For Indian tech enthusiasts and startups, the Tavily AI search engine offers seamless integration, helping bridge the gap between LLMs and the web in a country with 900 million internet users. Key Features of Tavily AI Search Engine Tavily’s core strength lies in its AI-optimized search API, which aggregates data from up to 20 sources per query, providing cited, structured results in formats like summaries or Markdown. Developer...