Remove content tag responsible-innovation
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Prompt Hacking and Misuse of LLMs

Unite.AI

Key developments include OpenAI's GPT-3 and DALLĀ·E series, GitHub's CoPilot for coding, and the innovative Make-A-Video series for video creation. Training Data: The internet, while a vast resource, is not free from biases, misinformation, or malicious content. Avoiding content rules. Making the AI produce forbidden content.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

Yet these powerful models also pose concerning risks around reproducing copyrighted or plagiarized content without proper attribution. But it also means these models absorb content without regard for copyrights, attribution, or plagiarism risks. Record metadata like licenses, tags, creators, etc. Avoid opaque models.

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30 Unique Gemini AI Prompts For SEO Content

Ofemwire

As a content writer, it’s tough to keep coming up with fresh and interesting content. Content writers are always searching for new ways to make their content better and reach more people. That’s where Gemini AI Prompts For SEO Content come in.

AI 111
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Speech AI use cases for Learning Management Systems

AssemblyAI

A learning management system (LMS) is an online platform that stores, manages, and delivers educational content. However, an LMS is more than a basic interface for educational content. It can also be an ecosystem of educators, learners, and innovative technology that elevates learning opportunities.

AI 147
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10 Best AI Tools for Affiliate Marketing (August 2023)

Unite.AI

In the dynamic world of affiliate marketing, the race to captivate audiences demands innovative and efficient tools. With the ever-evolving advancements in (AI) Artificial Intelligence, there's a revolution unfolding that's reshaping content creation and audience engagement strategies.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., Some common techniques include the following: Sentiment analysis : Sentiment analysis categorizes data based on the nature of the opinions expressed in social media content (e.g.,

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LlamaSherpa: Revolutionizing Document Chunking for LLMs

Heartbeat

This API is responsible for parsing the PDF files. The API processes the PDF and returns a JSON response with parsed data. The JSON response is then processed to extract the ā€˜blocksā€™ of data, representing structured information parsed from the PDF. This ensures a comprehensive view of the section and its sub-content.

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