Tanushree Shenwai, Author at MarkTechPost
WEBTanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.
Whisper WebGPU: Real-Time in-Browser Speech Recognition with …
WEBJun 8, 2024 — Achieving real-time speech recognition directly within a web browser has long been a sought-after milestone. Whisper WebGPU by a Hugging Face Engineer (nickname 'Xenova') is a groundbreaking technology that leverages OpenAI’s Whisper model to bring real-time, in-browser speech recognition to fruition. This remarkable development is a monumental shift in interaction with AI-driven web ...
Tutorials Category - MarkTechPost
WEBMistral AI Released Mistral-Small-Instruct-2409: A Game-Changing Open-Source Language Model Empowering Versatile AI Applications with Unmatched Efficiency and Accessibility. AI Shorts September 18, 2024. Mistral AI recently announced the release of Mistral-Small-Instruct-2409, a new open-source large language model (LLM) designed to address ...
Developers Can Now Use ONNX Runtime (Machine Learning
WEBDec 24, 2021 — Traditionally, AI models were run over powerful servers in the cloud. Implementing “on-device machine learning,” like using mobile phones, is rarely heard of. This lack of mobile-based implementation can be attributed mainly to the lack of storage memory, compute resources, and power required for using AI models. Despite these limitations, mobile-based AI implementation can be pretty ...
LOFT: A Comprehensive AI Benchmark for Evaluating Long
WEBJun 23, 2024 — The LOFT benchmark encompasses a diverse range of real-world applications to evaluate LCLMs comprehensively. It features six main tasks: retrieval, RAG, SQL-like reasoning, and many-shot in-context learning (ICL), spanning 35 datasets across text, visual, and audio modalities. The benchmark is designed with …
FalconMamba 7B Released: The World's First Attention
WEBAug 12, 2024 — The Technology Innovation Institute (TII) in Abu Dhabi has recently unveiled the FalconMamba 7B, a groundbreaking artificial intelligence model. This model, the first strong attention-free 7B model, is designed to overcome many of the limitations existing AI architectures face, particularly in handling large data sequences. The FalconMamba 7B is released under the TII Falcon License 2.0.
GWalkR: A One-Stop R Package for Exploratory Data Analysis with ...
WEBAug 8, 2024 — A recently released R package, GWalkR addresses the challenge of democratizing data analysis and making complex information accessible to a wider audience. The initial exploratory phase of data projects often requires extensive R programming for data manipulation and visualization, a process that can be both time-consuming and error-prone.
Cornell Researchers Unveil MambaByte: A Game-Changing
WEBJan 29, 2024 — The evolution of language models is a critical component in the dynamic field of natural language processing. These models, essential for emulating human-like text comprehension and generation, are instrumental in various applications, from translation to conversational interfaces. The core challenge tackled in this area is refining model efficiency, particularly in managing lengthy data ...
Google DeepMind Releases Penzai: A JAX Library for Building, …
WEBApr 19, 2024 — Google DeepMind has recently introduced Penzai, a new JAX library that has the potential to transform the way researchers construct, visualize, and alter neural networks. This innovative tool is designed to smoothly integrate with Google Colab and the JAX ecosystem, which is a major step forward in the accessibility and manipulability of AI models. Penzai is a new approach to neural network ...
How Does Machine Learning Scale to New Peaks? This AI Paper …
WEBMar 1, 2024 — Large language models (LLMs) stand out for their astonishing ability to mimic human language. These models, pivotal in advancements across machine translation, summarization, and conversational AI, thrive on vast datasets and equally enormous computational power. The scalability of such models has been bottlenecked by the sheer computational demand, making training models with hundreds of ...
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