Author: Aswin Ak

Aswin Ak
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Aswin AK is a consulting intern at MarkTechPost. He is pursuing his Dual Degree at the Indian Institute of Technology, Kharagpur. He is passionate about data science and machine learning, bringing a strong academic background and hands-on experience in solving real-life cross-domain challenges.

Llama 2 to Llama 3: Meta’s Leap in Open-Source Language Models

Recently, Meta has been at the forefront of Open Source LLMs with its Llama series. Following the success of Llama 2, Meta has introduced...

Developments in Family of Claude Models by Anthropic AI: A Comprehensive Review

Anthropic AI's Claude family of models represents a great challenging feat for GPT models in AI technology. With the release of the Claude 3...

Uni-MoE: A Unified Multimodal LLM based on Sparse MoE Architecture

Unlocking the potential of large multimodal language models (MLLMs) to handle diverse modalities like speech, text, image, and video is a crucial step in...

Enhancing Security and Efficiency: The Integral Role of AI in Advanced Cryptocurrency Systems

Cryptocurrency systems have evolved significantly since Bitcoin was introduced in 2009. As the landscape becomes increasingly complex, integrating artificial intelligence (AI) offers promising avenues...

Exploring the Frontiers of Artificial Intelligence: A Comprehensive Analysis of Reinforcement Learning, Generative Adversarial Networks, and Ethical Implications in Modern AI Systems

Artificial Intelligence (AI) has revolutionized multiple facets of modern life, driving significant advancements in technology, healthcare, finance, and beyond. Reinforcement Learning (RL) and Generative...

Federated Learning: Decentralizing AI to Enhance Privacy and Security

The rapid advancement of AI has revolutionized various industries, from healthcare to finance, by enabling sophisticated data analysis and predictive modeling. However, the traditional...

OpenRLHF: An Open-Source AI Framework Enabling Efficient Reinforcement Learning from Human Feedback RLHF Scaling

Artificial Intelligence is undergoing rapid evolution, especially regarding the training of massive language models (LLMs) with parameters exceeding 70 billion. These models have become...

Quantum Machine Learning for Accelerating EEG Signal Analysis

The origins of quantum computing trace back to Richard Feynman's ideas of simulating various Hamiltonians using controlled quantum systems, with David Deutsch later formulating...

TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training

The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models...

Planning Architectures for Autonomous Robotics

Autonomous robotics has seen significant advancements over the years, driven by the need for robots to perform complex tasks in dynamic environments. At the...

Exploring Data Mapping as a Search Problem

Data mapping is a critical process in data management, enabling the integration and transformation of data from various sources into a unified format. The...

AgentClinic: Simulating Clinical Environments for Assessing Language Models in Healthcare

The primary goal of AI is to create interactive systems capable of solving diverse problems, including those in medical AI aimed at improving patient...

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