Remove Conversational AI Remove LLM Remove Natural Language Processing
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Amazon trains 980M parameter LLM with ’emergent abilities’

AI News

Researchers at Amazon have trained a new large language model (LLM) for text-to-speech that they claim exhibits “emergent” abilities. While an experimental process, the creation of BASE TTS demonstrates these models can reach new versatility thresholds as they scale—an encouraging sign for conversational AI.

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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Let's dive into the top options and their impact on enterprise AI. Key Benefits of LLM APIs Scalability : Easily scale usage to meet the demand for enterprise-level workloads.

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Top 10 Large Language Models on Hugging Face

Analytics Vidhya

Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.

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How to Improve the Reliability of ChatGPT: Techniques and Tips

Analytics Vidhya

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

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Arena Learning: Transforming Post-Training of Large Language Models with AI-Powered Simulated Battles for Enhanced Efficiency and Performance in Natural Language Processing

Marktechpost

Large language models (LLMs) have shown exceptional capabilities in understanding and generating human language, making substantial contributions to applications such as conversational AI. Chatbots powered by LLMs can engage in naturalistic dialogues, providing a wide range of services. Check out the Paper.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. The decision is made with the support of an LLM by passing the system prompt, chat history, and user’s question.

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RAGate: Adaptive RAG for Conversational AI

Towards AI

Last Updated on November 10, 2024 by Editorial Team Author(s): Rupali Patil Originally published on Towards AI. Building Conversational AI systems is hard!!! The very popular RAG (Retrieval-Augmented Generation) has revolutionized conversational AI by seamlessly integrating external knowledge with LLM’s internal knowledge.