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Anthropic AI Launches a Prompt Engineering Tool that Generates Production-Ready Prompts in the Anthropic Console

Marktechpost

Generative AI (GenAI) tools have come a long way. Believe it or not, the first generative AI tools were introduced in the 1960s in a Chatbot. In 2024, we can create anything imaginable using generative AI tools like ChatGPT, DALL-E, and others. However, there is a problem.

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Bridging Large Language Models and Business: LLMops

Unite.AI

LLMOps versus MLOps Machine learning operations (MLOps) has been well-trodden, offering a structured pathway to transition machine learning (ML) models from development to production. The cost of inference further underscores the importance of model compression and distillation techniques to curb computational expenses.

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning Blog

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

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Shaping the Future of Artificial Intelligence AI: The Significance of Prompt Engineering for Progress and Innovation

Marktechpost

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc.

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How MLOps Work in the Era of Large Language Models

ODSC - Open Data Science

Large language models (LLMs) and generative AI have taken the world by storm, allowing AI to enter the mainstream and show that AI is real and here to stay. However, a new paradigm has entered the chat, as LLMs don’t follow the same rules and expectations of traditional machine learning models.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. Generative AI is at the heart of the AWS Village this year.

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Prompt Engineering

Heartbeat

It is able to write different believable phishing messages and even generate malicious code blocks, sometimes producing output that amounted to exploitation, as well as often well-intentioned results. At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering?