Multilingual Tokenization Efficiency in Large Language Models: A Study on Indian Languages
Authors: Mohamed Azharudeen M, Balaji Dhamodharan
ADaSci Expert
Shreepradha Hegde
Shreepradha is an accomplished Associate Lead Consultant at AIM, showcasing expertise in AI and data science, specifically Generative AI. With a wealth of experience, she has consistently demonstrated exceptional skills in leveraging advanced technologies to drive innovation and insightful solutions. Shreepradha's dedication and strategic mindset have made her a valuable asset in the ever-evolving landscape of artificial intelligence and data science.
Harnessing LLMs for Time Series Forecasting: Developing a Swap-Based Hedging Strategy for Commodity Trading
Authors: Sriram Gudimella, Rohit Zajaria, Jagmeet Sarna
Elevating Fairness in Consumer Credit Assessments: A Large Language Model (LLM) Driven Approach
Authors: Shubhradeep Nandi, Kalpita Roy
Chartered Data Scientist (CDS™)
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StreamSpeech Deep Dive For Speech-to-Speech Translation
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Exploring Granite Code Models in Multi-Language Code Intelligence
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A Hands-On Guide to Stable Diffusion 3 for Text-to-Image Generation
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A Descriptive and Hands-On Guide to LiteLLM
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Ultimate Guide to High-Performance, Scalable Databases SingleStore
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Exploratory Guide to Cosmopedia: Hugging Face’s Gateway to AI
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A Hands-On Guide to RecurrentGemma With Hugging Face
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Long-Context Comprehension with Dual Chunk Attention (DCA) in LLMs
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Hands-on Guide to Langfuse for LLM-Based Applications
Explore Langfuse’s powerful tools for building and managing LLM applications in Python, focusing on key
Enhancing Retrieval-Augmented Generation in NLP with CRAG
Learn how CRAG benchmarks Retrieval-Augmented Generation (RAG) systems for reliable and creative question-answering in NLP.