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  • Mastering Data Compression with LLMs via LMCompress

    Mastering Data Compression with LLMs via LMCompress

    Aniruddha Shrikhande

    LMCompress uses large language models to achieve state of the art, lossless compression across text, image, audio, and video by approximating Solomonoff induction.

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  • Mastering Scientific and Algorithmic Discovery with AlphaEvolve

    Mastering Scientific and Algorithmic Discovery with AlphaEvolve

    Aniruddha Shrikhande

    AlphaEvolve by DeepMind evolves and optimizes code using LLMs and evolutionary algorithms, enabling breakthroughs in science and engineering.

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  • A Deep Dive into J1’s Innovative Reinforcement Learning

    A Deep Dive into J1’s Innovative Reinforcement Learning

    Aniruddha Shrikhande

    J1 by Meta AI is a reasoning-focused LLM judge trained with synthetic data and verifiable rewards to deliver unbiased, accurate evaluations—without human labels.

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  • A Deep Dive into Absolute Zero: Reinforced Self-play Reasoning with Zero Data

    A Deep Dive into Absolute Zero: Reinforced Self-play Reasoning with Zero Data

    Aniruddha Shrikhande

    Absolute Zero enables language models to teach themselves complex reasoning through self-play—no human-labeled data required. Discover how AZR learns coding and logic tasks using autonomous task creation, verification, and reinforcement.

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  • A Deep Dive into Continuous Thought Machines

    A Deep Dive into Continuous Thought Machines

    Aniruddha Shrikhande

    Explore the Continuous Thought Machine (CTM), a neural network architecture that integrates neuron-level timing and synchronization to bridge the gap between AI and biological intelligence.

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  • Mastering AI Code Execution in Secure Sandboxes with E2B

    Mastering AI Code Execution in Secure Sandboxes with E2B

    Aniruddha Shrikhande

    Explore how E2B provides secure, isolated sandboxes for running AI-generated code with LLaMA-3 on Together AI—ideal for building safe, intelligent data workflows and autonomous agents.

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  • How L&D Leaders Can Drive AI Readiness Across the Enterprise?

    How L&D Leaders Can Drive AI Readiness Across the Enterprise?

    Vaibhav Kumar

    A strategic guide to AI Readiness helping L&D leaders align talent, tools, and training for the agentic future.

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  • A Deep Dive into Federated Learning of LLMs

    A Deep Dive into Federated Learning of LLMs

    Aniruddha Shrikhande

    Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources, offering an ethical alternative to centralized model training.

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  • DeepSeek-Prover-V2 for Mastering Mathematical Reasoning

    DeepSeek-Prover-V2 for Mastering Mathematical Reasoning

    Aniruddha Shrikhande

    DeepSeek-Prover-V2 combines informal reasoning and formal proof steps to solve complex theorems , achieving top results on benchmarks.

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  • A Practical Guide to Enabling AI Agent Browser Control using Browser-use

    A Practical Guide to Enabling AI Agent Browser Control using Browser-use

    Aniruddha Shrikhande

    Browser-Use is an open-source Python library that lets LLM-powered agents interact with websites via natural language, enabling real-world automation like job applications, research, and e-commerce.

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