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6 key considerations for selecting an AI systems vendor

CIO

Many IT leaders are responding to C-suite pressure for artificial intelligence (AI) capabilities by increasing the organization’s AI investment in 2024. They’re finding that AI success is a complex task, and they need all they help they can get. But it can simplify achieving your AI goals.

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OpenAI will give roughly 10 AI startups $1M each and early access to its systems

TechCrunch

OpenAI, the San Francisco-based lab behind AI systems like GPT-3 and DALL-E 2, today launched a new program to provide early-stage AI startups with capital and access to OpenAI tech and resources. Beyond Converge, surprisingly, there aren’t many incubator programs focused exclusively on AI startups.

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Pros, Cons, and Tips for Using AI in L&D Systems

Xebia

Giovanni Lanzani, Managing Director of Data & AI at Xebia, recently joined Archipel Academy’s "FutureFit" podcast , a dynamic space exploring the essentials of keeping your organization agile, staying abreast of the latest trends, and ensuring mental and physical well-being.

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A look at the budding market for the text that prompts AI systems

TechCrunch

Writing the text strings that instruct AI systems like ChatGPT and DALL-E 2 to generate essays, articles, images and more has become a veritable profession, commanding salaries well into the six-figure range. NeutronField’s prompts for sale cover a slightly wider range of AI systems, including Disco Diffusion and Craiyon.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?

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Generally Intelligent secures cash from OpenAI vets to build capable AI systems

TechCrunch

A new AI research company is launching out of stealth today with an ambitious goal: to research the fundamentals of human intelligence that machines currently lack. Qiu blamed the high-churn nature of the leads-sourcing business.) What convinced them?

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Why generative AI systems are stupid

InfoWorld

This Axios article states what we already know: The responses coming from many generative AI (genAI) systems are misleading, not what the users asked for, or just plain wrong.

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Resilient Machine Learning with MLOps

But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the real patterns observed in the outside world.

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Build Trustworthy AI With MLOps

For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.

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Humility in AI: Building Trustworthy and Ethical AI Systems

AI is becoming ubiquitous. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. Brought to you by Data Robot.

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Embrace AI: Make Your VoIP Service Stand Out

Dialogview is revolutionizing VoIP services with its AI-powered platform, which is now available for white labeling. With advanced conversational AI, Dialogview understands customer sentiments and queries in real time, without any button presses needed by users.

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Generic ASR Will Never Be Accurate Enough for Conversational AI

What type of ASR is able to be tailored to your Conversational AI? Read this eBook to find out how a Conversational Al system determines the intent of the conversation and focuses on the important words It is an End to End Deep Learning ASR. It can also be continually trained and improved to gain more accuracy and focus.

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How to Stay Competitive in the Evolving State of Martech

To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and promote omnichannel marketing.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. Take your product a step further in the cloud with ML and AI services. In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. And much more!

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.