Machine Learning
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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 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.
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.
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.
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.
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.
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.
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.
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’ 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.
How AI will impact the developer experience
Generative AI is not the first new technology that has changed how software developers work. While developers have nothing to fear, the stakes will be high for their employers.
What can ChatGPT and LLMs really do for your business?
Large language models already are transforming industries such as financial services, healthcare, education, and government. But what’s hype and what’s yet to come?
Microsoft unveils TypeChat library for building natural language interfaces
Open source library draws on TypeScript and type definitions to retrieve structured responses from AI models that are type-safe.
GitHub Copilot Chat available in a preview for businesses
GitHub has made a beta release of its AI-powered coding chatbot available to all customers of GitHub Copilot for Business.
Splunk’s new AI tools aim to ease security, observability tasks
The AI tools introduced at the company’s .conf2023 include the Splunk AI Assistant, Splunk Machine Learning Toolkit 5.4, Splunk App for Anomaly Detection, and the Splunk App for Data Science and Deep Learning 5.1.
Meta lets loose second generation of Llama AI models
Meta says organizations can download Llama 2 for free, and run it wherever they wish, for research and commercial purposes. Microsoft and AWS are already hosting it.
Build a chatbot with Google’s PaLM API
Using the PaLM 2 large language model available in Google Cloud Vertex AI, you can create a chatbot in just a few lines of code. These are the steps.
The biggest barrier to AI productivity is people
Generative AI is helping us churn out vastly more content at remarkable speed, when what we really need is better content. It’s up to humans to put the focus on quality and value.
Microsoft Semantic Kernel will support OpenAI plugins
Fall 2023 roadmap for the LLM-integrating SDK also lists plans for plugin testing, dynamic planners, end-to-end telemetry, and links to vector databases.
