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Vineet Tiwari

  • Sonus-1: FREE Reasoning Model beats OpenAI’s new O1 Pro

    Sonus-1 reasoning model explained: what changed, what’s real, and what to watch when you deploy it in production. TL;DR Sonus-1 is mostly about making agent behavior predictable and auditable. Make…

    January 9, 2025
  • NVIDIA NV Ingest for Complex Unstructured PDFs, Enterprise Documents

    TL;DR Nvidia Nv Ingest is mostly about making agent behavior predictable and auditable. Make tools safe: schemas, validation, retries/timeouts, and idempotency. Ground answers with retrieval (RAG) and measure reliability with…

    January 9, 2025
  • Cache-Augmented Generation (CAG): Superior Alternative to RAG

    TL;DR Cache-Augmented Generation is mostly about making agent behavior predictable and auditable. Make tools safe: schemas, validation, retries/timeouts, and idempotency. Ground answers with retrieval (RAG) and measure reliability with evals.…

    January 2, 2025
  • ECL vs RAG, What is ETL: AI Learning, Data, and Transformation

    ECL vs RAG, What is ETL: AI Learning, Data, and Transformation

    TL;DR Ecl Vs Rag is mostly about making agent behavior predictable and auditable. Make tools safe: schemas, validation, retries/timeouts, and idempotency. Ground answers with retrieval (RAG) and measure reliability with…

    January 2, 2025
  • LLM Continual Learning Without Fine-Tuning: The InCA Revolution

    LLM Continual Learning Without Fine-Tuning: The InCA Revolution

    TL;DR Llm Continual Learning is mostly about making agent behavior predictable and auditable. Make tools safe: schemas, validation, retries/timeouts, and idempotency. Ground answers with retrieval (RAG) and measure reliability with…

    December 30, 2024
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aivineet, AI News Today | AI & LLM Solutions

AI & ML Solution Architect | LLM Expert | Web3 Developer| Blockchain Specialist
Hi! I’m Vineet Tiwari, a technology enthusiast with a deep passion for leveraging

Artificial Intelligence (AI), Machine Learning (ML), and Web3 technologies to

solve complex business challenges.

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