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  • Mastering Multimodal Understanding and Generation with Janus-Pro

    Mastering Multimodal Understanding and Generation with Janus-Pro

    Aniruddha Shrikhande

    Janus-Pro advances multimodal AI by decoupling visual understanding and generation, optimizing training strategies for superior performance.

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  • Diving into Self-Adaptive LLMs with Transformer2

    Diving into Self-Adaptive LLMs with Transformer2

    Aniruddha Shrikhande

    Transformer2 is a revolutionary framework enhancing LLMs with self-adaptive capabilities through Singular Value Fine-Tuning and reinforcement learning, enabling real-time task adaptation with low computational cost.

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  • A Low Code Approach to Build Powerful AI Agents with Smolagents

    A Low Code Approach to Build Powerful AI Agents with Smolagents

    Aniruddha Shrikhande

    Smolagents enable large language models (LLMs) to handle dynamic workflows with ease. Learn how its code-first, minimalistic design powers intelligent, flexible AI solutions for real-world tasks.

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  • Mastering the Art of Mitigating AI Hallucinations

    Mastering the Art of Mitigating AI Hallucinations

    Aniruddha Shrikhande

    AI hallucinations challenge generative models’ reliability in critical applications. Learn about advanced mitigation techniques, including RLHF, RAG, and real-time fact-checking, to enhance accuracy and trustworthiness.

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  • Exploring LLMs Reasoning Capability with DeepSeek-R1

    Exploring LLMs Reasoning Capability with DeepSeek-R1

    Aniruddha Shrikhande

    DeepSeek-R1 harnesses reinforcement learning to achieve cutting-edge reasoning capabilities, outperforming traditional SFT approaches. Discover its architecture, training methods, and real-world applications in AI advancements.

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  • Google’s Titans for Redefining Neural Memory with Persistent Learning at Test Time

    Google’s Titans for Redefining Neural Memory with Persistent Learning at Test Time

    Aniruddha Shrikhande

    Titans redefine neural memory by integrating short- and long-term components for efficient retention and retrieval. This article explores its architecture, innovations, and transformative potential across AI applications.

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  • A Deep Dive into Cache Augmented Generation (CAG)

    A Deep Dive into Cache Augmented Generation (CAG)

    Aniruddha Shrikhande

    CAG eliminates retrieval latency and simplifies knowledge workflows by preloading and caching context. Learn how this innovative paradigm improves accuracy and efficiency in language generation tasks.

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  • A Hands-on Guide to Multilingual Visual Document Retrieval with VDR-2B-Multi-V1

    A Hands-on Guide to Multilingual Visual Document Retrieval with VDR-2B-Multi-V1

    Aniruddha Shrikhande

    vdr-2b-multi-v1 transforms visual document retrieval with multilingual embeddings, faster inference, and reduced VRAM usage. This article delves into its architecture, training, and groundbreaking applications.

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  • Knowledge Augmented Generation (KAG) By Combining RAG with Knowledge Graphs

    Knowledge Augmented Generation (KAG) By Combining RAG with Knowledge Graphs

    Vaibhav Kumar

    Knowledge Augmented Generation combines knowledge graphs and language models to deliver accurate, logical, and domain-specific AI solutions.

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  • A Deep Dive into NVIDIA Cosmos and Its Capabilities

    A Deep Dive into NVIDIA Cosmos and Its Capabilities

    Aniruddha Shrikhande

    NVIDIA Cosmos revolutionizes Physical AI with digital twins and cutting-edge training methodologies. This article explores its architecture, training techniques, and transformative applications across robotics, autonomous driving, and more.

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