Remove Conversational AI Remove NLP Remove Prompt Engineer
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Prompt Engineering Hacks for ChatGPT & LLM Applications

Topbots

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. Let’s explore the tactics to follow these crucial principles of prompt engineering and other best practices.

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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. Conclusion Conversational AI assistants are transformative tools for streamlining operations and enhancing user experiences.

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6 Prompt Engineering Use Cases That Employers are Looking For

ODSC - Open Data Science

Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. Now, what do prompt engineering job descriptions actually want you to do? Here are some common prompt engineering use cases that employers are looking for.

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

Unite.AI

turbo, the models are capable of handling complex tasks such as data summarization, conversational AI, and advanced problem-solving. Conversational AI : Developing intelligent chatbots that can handle both customer service queries and more complex, domain-specific tasks.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Donny White, CEO & Co-Founder of Satisfi Labs – Interview Series

Unite.AI

Founded in 2016, Satisfi Labs is a leading conversational AI company. Randy and I both come from finance and algorithmic trading backgrounds, which led us to take the concept of matching requests with answers to build our own NLP for hyper-specific inquiries that would get asked at locations.

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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). With Amazon Bedrock, you can integrate advanced NLP features, such as language understanding, text generation, and question answering, into your applications.

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