Is the latent reasoning entangled?
Does the latent embedding entirely hold the puzzle logic?
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We explore the technology, science, and research behind Artificial Intelligence. Our goal is to break down complex ideas into clear, thoughtful insights that make AI easier to understand and discuss.
Does the latent embedding entirely hold the puzzle logic?
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Can vision-language models do more than describe an image? Explore how VLMs can identify objects and enable precise visual segmentation.
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In this project, I built a reinforcement learning agent to solve the classic CartPole problem.
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Does emotion play a role in understanding how something was said?
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Why outputs from techniques like LogitLens need a careful relook.
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Extracting truthful representations even when the model is trained to respond untruthfully.
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Mamba is a model that was designed to do sequence modelling tasks effectively and is claimed to outperform transformer based models of similar parameter size.
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Games have long been a testing ground for artificial intelligence, offering structured environments with clear rules and measurable outcomes.
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This blog delves into Genie 2’s transformative features, showcasing how it redefines interactivity, realism, and creativity in gaming.
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LLMs face a significant challenge: they often operate on static datasets that quickly become outdated.
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We have come to accept Multi-Layer Perceptrons (MLPs) as the foundational building blocks of neural networks.
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For football enthusiasts, having access to a comprehensive breakdown of a match, even when not witnessing it live, is invaluable.
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MineRL provides an OpenAI Gym interface to Minecraft, allowing researchers to develop and test AI models within the game.
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The objective of this paper review is to analyse the working of the model without diving excessively into the heavy maths that drives it.
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Retrieval Augmented Generation(RAG) is the most famous term in AI these days.
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Conformer: Advancing the future of Automatic Speech Recognition
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The Natural Language Processing (NLP) field witnessed a groundbreaking moment with the introduction of transformers.
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Why is there a huge need to develop Natural Language Processing techniques for Indian languages today?
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LLMs and AI like Gemini paint a vivid picture of a future brimming with possibilities.
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Mixtral 8x7B is an open-source answer to these problems.
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So, all in all, chatGPT is wonderful but not without its shortcomings.
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An interesting Paper Review along with our own implementation of the paper
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