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How to use AI to build powerful market research tools

AssemblyAI

This article examines how AI models can be leveraged to help market research platforms build powerful tools that can: Transcribe asynchronous and live voice and video feedback to make review and analysis more efficient. <Speaker B> I actually met her not too long ago. <Speaker A> Right. ” label.

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10 Best AI Tools for Affiliate Marketing (August 2023)

Unite.AI

Here is a look at some of the best features of Jasper: More than 11,000 free fonts and 2,500 categories of writing styles Supports 25+ languages Intuitive interface Long-form writing assistant (1,000+ words) Identify key elements in text (pronouns, verbs, names, etc.) Read our Jasper Review or visit Jasper.

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AI for Earth, 2023 in Review

Allen AI

AI2’s geospatial team released one of the largest and diverse satellite imagery datasets ever composed of Sentinel-2 and NAIP images with 302M labels under 137 categories and seven label types [ paper , demo , code ].

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

If you are unfamiliar with the overall AI and ML workflow, start by reviewing 7 ways to improve security of your machine learning workloads to increase familiarity with the security controls needed for traditional AI/ML systems. There are many other AWS Security training and certification resources available.

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Many opportunities for discrimination in deploying machine learning systems

Hal Daumé III

Similarly, since human flash judgments may focus on less relevant features, we may be biasing toward authors who are native English speakers, because things like second language errors may disproportionately affect quick judgments. It’s not clear to me that there are obvious discrimination issues here, but it could be.

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Building a Sentiment Classification System With BERT Embeddings: Lessons Learned

The MLOps Blog

It is frequently used to assess a speaker or writer’s perspective on a subject or the overall contextual polarity of a piece of writing. Different sets of words are first labeled into three different categories. If any of these words are detected in the text, then it is classified in one of the given sentiment categories.

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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning Blog

The IDP Well-Architected Custom Lens outlines the steps for performing an AWS Well-Architected review, and helps you assess and identify the risks in your IDP workloads. Establish regular cadence – The group should come together regularly to review their goals and metrics. He is focusing on AI/ML and IoT.

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