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Conversational AI use cases for enterprises

IBM Journey to AI blog

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. billion by 2030.

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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.

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Salesforce Research Introduces AgentOhana: A Comprehensive Agent Data Collection and Training Pipeline for Large Language Model

Marktechpost

Integrating Large Language Models (LLMs) in autonomous agents promises to revolutionize how we approach complex tasks, from conversational AI to code generation. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. Check out the Paper.

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Redefining Conversational AI with Large Language Models

Topbots

Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption.

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Survey of Knowledge Conflicts in Large Language Models: Pathways to Enhanced Accuracy and Reliability

Marktechpost

Large language models (LLMs) have taken center stage in artificial intelligence, fueling advancements in many applications, from enhancing conversational AI to powering complex analytical tasks. Researchers have also illuminated the implications of knowledge conflicts beyond mere factual inaccuracies.

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This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis

Marktechpost

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency.

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Korea’s Naver joins generative AI race with HyperCLOVA X large language model

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Another big gun is entering the AI race. Korean internet giant Naver today announced the launch of HyperCLOVA X, its next-generation large language model (LLM) that delivers conversational AI experiences through a question-answering chatbot called CLOVA X. The company said it has opened beta testing …