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A Survey of Large Language Models (LLMs)

Analytics Vidhya

Introduction The landscape of technological advancement has been dramatically reshaped by the emergence of Large Language Models (LLMs), an innovative branch of artificial intelligence. LLMs have exhibited a remarkable […] The post A Survey of Large Language Models (LLMs) appeared first on Analytics Vidhya.

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Beyond Words: Unleashing the Power of Large Language Models

Analytics Vidhya

Introduction In the realm of artificial intelligence, a transformative force has emerged, capturing the imaginations of researchers, developers, and enthusiasts alike: large language models.

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KOSMOS-2: A Multimodal Large Language Model by Microsoft

Analytics Vidhya

It is a multimodal large language model (MLLM) making waves with groundbreaking capabilities in understanding text and images. Developing a language model is one thing, […] The post KOSMOS-2: A Multimodal Large Language Model by Microsoft appeared first on Analytics Vidhya.

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Text to Sound – Train Your Large Language Models

Analytics Vidhya

It’s not science fiction; it results from groundbreaking research in the open-source community, ‘The Sound of AI’.

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Enhancing Customer Surveys Feedback Analysis with Large Language Models

Analytics Vidhya

In today’s cutthroat competition and with large language models, comprehending customer thoughts is no longer a luxury but a necessity.

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Bridging Large Language Models and Business: LLMops

Unite.AI

LLMOps versus MLOps Machine learning operations (MLOps) has been well-trodden, offering a structured pathway to transition machine learning (ML) models from development to production. While seemingly a variant of MLOps or DevOps, LLMOps has unique nuances catering to large language models' demands.

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Self-Play Preference Optimization (SPPO): An Innovative Machine Learning Approach to Finetuning Large Language Models (LLMs) from Human/AI Feedback

Marktechpost

Large Language Models (LLMs) have demonstrated remarkable abilities in generating human-like text, answering questions, and coding. Reinforcement Learning from Human Feedback (RLHF), or Preference-based Reinforcement Learning (PbRL), emerges as a promising solution. Check out the Paper.