Remove AI Modeling Remove Conversational AI Remove Large Language Models
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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. For example, if an AI system denies your loan application.

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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. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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Cohere Released Command A: A 111B Parameter AI Model with 256K Context Length, 23-Language Support, and 50% Cost Reduction for Enterprises

Marktechpost

LLMs are widely used for conversational AI, content generation, and enterprise automation. Many state-of-the-art models require extensive hardware resources, making them impractical for smaller enterprises. Training and deploying AI models present hurdles for researchers and businesses.

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Botpress Review: This AI Chatbot Builder Is Seriously Smart

Unite.AI

You can literally see how your conversations will branch out depending on what users say! Botpress serves a pretty straightforward purpose: it lets you build, test, and deploy conversational AI without needing to be an AI expert or professional developer. Who uses Botpress?

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Nvidia Released Llama-3.1-Nemotron-Ultra-253B-v1: A State-of-the-Art AI Model Balancing Massive Scale, Reasoning Power, and Efficient Deployment for Enterprise Innovation

Marktechpost

As AI adoption increases in digital infrastructure, enterprises and developers face mounting pressure to balance computational costs with performance, scalability, and adaptability. The rapid advancement of large language models (LLMs) has opened new frontiers in natural language understanding, reasoning, and conversational AI.

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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.