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Prompt Hacking and Misuse of LLMs

Unite.AI

This means they're not just faster and more productive but also more adept than previously.” Yet, with immense power comes inherent risks. The same prompts that enable LLMs to engage in meaningful dialogue can be manipulated with malicious intent. ” Source The above timeline highlights major GenAI advancements from 2020 to 2023.

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How To Leverage Generative AI To Develop Global, Agile, & Effective Go-to-Market Strategies

Unite.AI

1: Streamline the market adaptation process Generative AI has an incredible production capacity, being able to create up to 20 times more original multilingual content while maintaining consistency and quality. . #1: If a company is just entering a new market, this means that they likely have zero locally-generated content to rely on.

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Scalenut Review: The Best AI SEO Writing Generator? (July 2023)

Unite.AI

With Scalenut , you can write long and short-form content and optimize it with their integrated SEO tools. Scalenut is truly an anomaly, standing out as an affordable all-in-one solution that allows you to quickly and efficiently find high-traffic keywords, generate AI content, optimize it, and more. What is Scalenut?

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Compute without Constraints: Serverless GPU + LLM = Endless Possibilities

Artificial Corner

In fact securing access to GPUs requires a lot of upfront investment and technical overhead. In fact securing access to GPUs requires a lot of upfront investment and technical overhead. Spark conversations through the cloud with serverless GPUs powering your most advanced Hugging Face large language models. for AI image generation.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs).

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Improving Neural Networks with Neuroscience

Mlearning.ai

How taking inspiration from the brain can help us create Neural Networks. Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. Finding the right architecture/configuration might be a very time-consuming process, but the high costs are justified by the higher performance.