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Enhancing Conversational AI with BERT: The Power of Slot Filling

Analytics Vidhya

Introduction In the era of Conversational AI, chatbots and virtual assistants have become ubiquitous, revolutionizing how we interact with technology. One crucial component that aids in this process is slot […] The post Enhancing Conversational AI with BERT: The Power of Slot Filling appeared first on Analytics Vidhya.

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AI Chatbots Grapple with Linguistic Understanding

Unite.AI

The advent of artificial intelligence (AI) chatbots has reshaped conversational experiences, bringing forth advancements that seem to parallel human understanding and usage of language. These chatbots, fueled by substantial language models, are becoming adept at navigating the complexities of human interaction. Tal Golan, Ph.D.,

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AI News Weekly - Issue #366: Top AI Podcasts in 2024 - Jan 4th 2024

AI Weekly

businessinsider.com Tech Trends 2024: AI and electric vehicle deals From computer code, to artwork, to essays, generative AI systems can quickly create a range of content which, while not perfect, has become an essential tool in some industries and professions. Apptronik launched its humanoid robot "Apollo" in August.

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AI’s Inner Dialogue: How Self-Reflection Enhances Chatbots and Virtual Assistants

Unite.AI

Recently, Artificial Intelligence (AI) chatbots and virtual assistants have become indispensable, transforming our interactions with digital platforms and services. Ambiguity is a common challenge chatbots face, but self-reflection enables them to seek clarifications or provide context-aware responses that enhance understanding.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Custom-trained models: Most organizations can’t produce or support AI without a strong partnership. Innovators who want a custom AI can pick a “foundation model” like OpenAI’s GPT-3 or BERT and feed it their data.

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A General Introduction to Large Language Model (LLM)

Artificial Corner

BERT (Bidirectional Encoder Representations from Transformers) — developed by Google. BERT (Bidirectional Encoder Representations from Transformers) — developed by Google. RoBERTa (Robustly Optimized BERT Approach) — developed by Facebook AI. T5 (Text-to-Text Transfer Transformer) — developed by Google.

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Protected: Enhancing Traditional NLUs with LLMs: Exploring the Case of Rasa NLU + BERT LLMs

Bitext

Password Protected To view this protected post, enter the password below: Password: Submit The post Protected: Enhancing Traditional NLUs with LLMs: Exploring the Case of Rasa NLU + BERT LLMs appeared first on Bitext. We help AI understand humans. chatbots that work.

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