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You.com unveils AI research agent that processes 400+ sources at once

Flipboard

You.com launches ARI, a cutting-edge AI research agent that processes over 400 sources in minutesrevolutionizing market research and empowering faster, more accurate business decision-making. Read More

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The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them

Towards AI

Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!

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Speech Separation by Facebook AI Research

Analytics Vidhya

The post Speech Separation by Facebook AI Research appeared first on Analytics Vidhya. A Brief History of Traditional methods Voice Separation with an Unknown Number of Multiple Speakers Note: All audio samples and the videos, images in […].

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Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents

Marktechpost

Researchers from the University College London, University of WisconsinMadison, University of Oxford, Meta, and other institutes have introduced a new framework and benchmark for evaluating and developing LLM agents in AI research. Tasks include evaluation scripts and configurations for diverse ML challenges. Pro, Claude-3.5-Sonnet,

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ALBERT Model for Self-Supervised Learning

Analytics Vidhya

Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT.

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A Comprehensive Guide on i-Transformer

Analytics Vidhya

Introduction Transformers have revolutionized various domains of machine learning, notably in natural language processing (NLP) and computer vision. Their ability to capture long-range dependencies and handle sequential data effectively has made them a staple in every AI researcher and practitioner’s toolbox.

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Building a Legal AI Chatbot: A Step-by-Step Guide Using bigscience/T0pp LLM, Open-Source NLP Models, Streamlit, PyTorch, and Hugging Face Transformers

Marktechpost

print(preprocess_legal_text(sample_text)) Then, we preprocess legal text using spaCy and regular expressions to ensure cleaner and more structured input for NLP tasks. print(preprocess_legal_text(sample_text)) Then, we preprocess legal text using spaCy and regular expressions to ensure cleaner and more structured input for NLP tasks.