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Education#education📝 BlogAnalyzed: Dec 27, 2025 22:31

AI-ML Resources and Free Lectures for Beginners

Published:Dec 27, 2025 22:17
1 min read
r/learnmachinelearning

Analysis

This Reddit post seeks recommendations for AI-ML learning resources suitable for beginners with a background in data structures and competitive programming. The user is interested in transitioning to an Applied Scientist intern role and desires practical implementation knowledge beyond basic curriculum understanding. They specifically request free courses, preferably in Hindi, but are also open to English resources. The post mentions specific instructors like Krish Naik, CampusX, and Andrew Ng, indicating some prior awareness of available options. The user is looking for a comprehensive roadmap covering various subfields like ML, RL, DL, and GenAI. The request highlights the growing interest in AI-ML among software engineers and the demand for accessible, practical learning materials.
Reference

“Pls, suggest me whom to follow Ik basics like very basics, curriculum only but want to really know implementation and working and use...”

Permalinkr/learnmachinelearning
Research Paper#Large Language Models, Cricket Analytics, Benchmarking, Multilingual NLP🔬 ResearchAnalyzed: Jan 3, 2026 23:56

CricBench: A Benchmark for LLMs in Cricket Analytics

Published:Dec 26, 2025 05:59
1 min read
ArXiv

Analysis

This paper introduces CricBench, a specialized benchmark for evaluating Large Language Models (LLMs) in the domain of cricket analytics. It addresses the gap in LLM capabilities for handling domain-specific nuances, complex schema variations, and multilingual requirements in sports analytics. The benchmark's creation, including a 'Gold Standard' dataset and multilingual support (English and Hindi), is a key contribution. The evaluation of state-of-the-art models reveals that performance on general benchmarks doesn't translate to success in specialized domains, and code-mixed Hindi queries can perform as well or better than English, challenging assumptions about prompt language.
Reference

“The open-weights reasoning model DeepSeek R1 achieves state-of-the-art performance (50.6%), surpassing proprietary giants like Claude 3.7 Sonnet (47.7%) and GPT-4o (33.7%), it still exhibits a significant accuracy drop when moving from general benchmarks (BIRD) to CricBench.”

PermalinkArXiv
Research#LLM🔬 ResearchAnalyzed: Jan 10, 2026 14:04

Multilingual LLM Integration for Romanized Hindi and Bengali

Published:Nov 27, 2025 21:39
1 min read
ArXiv

Analysis

This research explores the integration of Romanized Hindi and Bengali into multilingual Large Language Models (LLMs). The creation of datasets for these languages is a significant step towards improved NLP capabilities and broader language support.
Reference

“The article discusses dataset creation for Romanized Hindi and Bengali.”

PermalinkArXiv
Research#Multilingual AI🔬 ResearchAnalyzed: Jan 10, 2026 14:35

HinTel-AlignBench: A New Benchmark for Cross-Lingual AI

Published:Nov 19, 2025 07:11
1 min read
ArXiv

Analysis

The creation of HinTel-AlignBench represents a valuable contribution to the field of multilingual AI, specifically by focusing on less-resourced languages. This framework and benchmark will help facilitate the development of more inclusive and accessible AI models.
Reference

“HinTel-AlignBench is a framework and benchmark for Hindi-Telugu with English-Aligned Samples.”

PermalinkArXiv
Politics#International Relations📝 BlogAnalyzed: Dec 29, 2025 09:42

Narendra Modi: Prime Minister of India - Power, Democracy, War & Peace

Published:Mar 16, 2025 13:21
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast episode featuring Narendra Modi, the Prime Minister of India, on the Lex Fridman Podcast. The episode is available on YouTube with multiple language options, including English, Hindi, and Russian, with subtitles in various languages. The article provides links to the episode, transcript, and ways to contact Lex Fridman. It also lists episode sponsors and an outline of the discussion topics. The focus is on accessibility and the multi-lingual nature of the content, highlighting the global reach of the podcast.
Reference

“To listen to the original mixed-language version, please select the Hindi (Latin) audio track.”

PermalinkLex Fridman Podcast
Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:47

Using Weaviate with Non-English Languages

Published:Jan 30, 2024 00:00
1 min read
Weaviate

Analysis

The article's focus is on the considerations for using the Weaviate vector database with languages other than English. It highlights the need for specific configurations and potential challenges related to language-specific nuances in vector embeddings and search.

Key Takeaways

    Reference

    “What you need to consider when using the Weaviate vector database with non-English languages, such as Hindi, Chinese, or Japanese.”

    PermalinkWeaviate