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  • A Deep Dive into StepWiser Stepwise Generative Judges for Wiser Reasoning

    A Deep Dive into StepWiser Stepwise Generative Judges for Wiser Reasoning

    Aniruddha Shrikhande

    Explore StepWiser: generative judges using RL to boost LLM reasoning accuracy and explainability.

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  • Unlock On-Device AI through Google’s EmbeddingGemma 

    Unlock On-Device AI through Google’s EmbeddingGemma 

    Sachin Tripathi

    Google’s new on-device AI model, EmbeddingGemma, for RAG and semantic search.

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  • From Robotic Speech to Realistic Emotion with ElevenLabs

    From Robotic Speech to Realistic Emotion with ElevenLabs

    Abhishek Kumar

    From robotic beeps to hyper-realistic emotion, this article traces the journey of text-to-speech, exploring how pioneers like ElevenLabs are perfecting the digital voice.

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  • Building Simulations with a Single Prompt on GPT-5

    Building Simulations with a Single Prompt on GPT-5

    Abhishek Kumar

    Unlock game and simulation development with GPT-5. A single prompt can create complex, interactive applications, moving beyond traditional coding to instant execution and creative direction.

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  • 100% Accuracy of AI Agents Is Unrealistic — Here Are the Reasons

    100% Accuracy of AI Agents Is Unrealistic — Here Are the Reasons

    Vaibhav Kumar

    Expecting 100% accurate responses from AI agents is unrealistic due to language ambiguity, data gaps, and reasoning limits.

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  • Hands-On RAG with AWS Bedrock and S3 Vector Store

    Hands-On RAG with AWS Bedrock and S3 Vector Store

    Abhishek Kumar

    Turn HR documents into a smart chatbot using Amazon S3 Vectors and Bedrock. Upload to S3, sync with Bedrock Knowledge Base, and ask questions easily.

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  • Information Extraction through Google’s LangExtract 

    Information Extraction through Google’s LangExtract 

    Sachin Tripathi

    Google’s LangExtract, a Gemini-powered Python library for extracting structured, grounded information.

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  • Fine-Tuning LLMs with Reinforcement Learning

    Fine-Tuning LLMs with Reinforcement Learning

    Abhishek Kumar

    Explore how Reinforcement Learning fine-tunes LLMs. This guide demystifies PPO, RLHF, RLAIF, DPO, and GRPO, explaining mechanisms, benefits, and use cases for aligning AI with human preferences.

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  • Building a Screen-Aware AI with ScreenEnv and Tesseract

    Building a Screen-Aware AI with ScreenEnv and Tesseract

    Abhishek Kumar

    Learn how to build screen-aware AI using ScreenEnv and Tesseract for dynamic, real-time screen content understanding.

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  • The CXO’s Role in Building Agentic AI-Ready Talent

    The CXO’s Role in Building Agentic AI-Ready Talent

    Vaibhav Kumar

    CXOs must lead talent transformation to build Agentic AI-ready teams through upskilling, mentoring, and applied learning.

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