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Applying the lessons of open source to generative AI

The excitement and turmoil surrounding generative AI is not unlike the early days of open source, or the Wild West. We can resolve the uncertainty and confusion.

cloud

Building LLM applications with vector search in Azure Cognitive Services

Microsoft’s Cognitive Search API now offers vector search as a service, ready for use with large language models in Azure OpenAI and beyond.

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Zenhub previews AI for software project management

Zenhub is adding AI capabilities to automate task labeling, prioritize work, estimate completion dates, and provide insights into challenges and blockages.

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The looming battle over where generative AI systems will run

Putting AI on cloud versus on-premises systems may seem like a simple decision, but it's much more complex (and potentially expensive).

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7 low code platforms embracing AI

Many low-code and no-code development and RPA platforms now include AI capabilities, often using a version of GPT.

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How to take action against AI bias

Humans must be the custodians for preserving high-quality data as AI use continues to advance.

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Understanding OneLake and lakehouses in Microsoft Fabric

Microsoft Azure’s new, unified data platform aims to be your one-stop shop for analytics and machine learning at scale.

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Google Project IDX brings AI to cloud-hosted development environments

Google Cloud service combines Codey-powered AI assistance and templates for popular JavaScript frameworks in a cloud-hosted Linux VM. Google said support for Python, Go, and other languages is coming soon.

The 2023 Ultimate AI ChatGPT & Python Programming Bundle

10 ways generative AI upends the traditional database

Generative AI isn't just for chatbots. Here are 10 ways AI and machine learning are transforming how we store, structure, and query data.

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Generative AI and a new version of old programming

Prompt engineering is still telling a computer what to do. Studying large language models and the limits of generative AI will keep your job security.

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What is generative AI? Artificial intelligence that creates

Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's being used, and why it’s more...

Salesforce

Salesforce Einstein Studio to help enterprises train generative AI models

Einstein Studio can also help enterprises connect their data from Salesforce Data Cloud to third-party AI offerings including Amazon SageMaker and Google’s Vertex AI for model training.

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Tame your wild LLM with TypeChat

Large language models mean not having to use complicated regular expression handlers to turn text into data. Using TypeChat, you can ensure that that data is type-safe JSON.

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Generative AI with LangChain, RStudio, and just enough Python

Here's how R users can get comfortable working with Python and LangChain, one of the hottest platforms for working with large language models.

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Low code AI with Power Apps and Power Automate

Microsoft's AI Builder introduces low-code generative AI capabilities to Power Apps and Power Automate. Let's see how the preview features stack up.

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The open source licensing war is over

It’s time for the open source Rambos to stop fighting and agree that developers care more about software’s access and ease of use than the purity of its license.

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Ease into similarity search with Google’s PaLM API

Learn how to use Google Cloud Vertex AI and the PaLM 2 large language model to create text embeddings and search text ranked by semantic similarity.

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The lost art of cloud application engineering

AI-driven coding is now in wide use, but we may not know all the risks of using it until the damage has been done. Think security problems and code that wastes resources.

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AWS updates Amazon Bedrock service with new large language models

Apart from adding new features to Amazon Bedrock, AWS has also launched a new generative AI service, dubbed AWS HealthScribe, to help automatically create clinical documentation.

AWS

AWS’ Entity Resolution service to help enterprises improve data quality

The machine learning-powered service, accessible via a no-code interface in the AWS Management Console, can be used to match data from multiple data lakes or AWS storage, the company said.

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