Remove Conversational AI Remove Large Language Models Remove NLP
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The Full Story of Large Language Models and RLHF

AssemblyAI

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning Blog

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). inputTextTokenCount': 6, 'results': [{'tokenCount': 37, 'outputText': 'nI am Amazon Titan, a large language model built by AWS.

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How MLOps Work in the Era of Large Language Models

ODSC - Open Data Science

Large language models (LLMs) and generative AI have taken the world by storm, allowing AI to enter the mainstream and show that AI is real and here to stay. However, a new paradigm has entered the chat, as LLMs don’t follow the same rules and expectations of traditional machine learning models.

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Microsoft Releases VisualGPT: Combines Language and Visuals

Analytics Vidhya

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines.

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Tsinghua University Researchers Released the GLM-Edge Series: A Family of AI Models Ranging from 1.5B to 5B Parameters Designed Specifically for Edge Devices

Marktechpost

The GLM-Edge models offer a combination of language processing and vision capabilities, emphasizing efficiency and accessibility without sacrificing performance. This series includes models that cater to both conversational AI and vision applications, designed to address the limitations of resource-constrained devices.

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Unlocking Speed and Efficiency in Large Language Models with Ouroboros: A Novel Artificial Intelligence Approach to Overcome the Challenges of Speculative Decoding

Marktechpost

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy.