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Disillusioned With The Hype Of Generative AI? How To See Results And Enjoy That Early Optimism Once More
Many leaders have come to believe that generative AI is not the magic elixir some have made it out to be. Taking a look at the Gartner hype cycle, generative AI was recently at the peak of inflated expectations. Now, we’re careening through the “trough of disillusionment”—and fast. While many leaders have become disenchanted with the progress resulting from generative AI, there is a “slope of enlightenment” on the other side.

Dan Rogers
Innovating Safely With Generative AI in Financial Services

Matt DeLaney
How to Build a Sentiment Analysis App in Hugging Face Spaces with Interchangeable Models and AI Model Feature Flags
Start your AI journey by building a sentiment analysis app with Hugging Face Spaces and LaunchDarkly AI model feature flags. This tutorial guides you through setting up a Python environment with Streamlit, Transformers, and PyTorch, creating a Hugging Face Space, and using LaunchDarkly to switch between sentiment analysis models dynamically. By leveraging these powerful tools, you can effortlessly analyze text sentiment and experiment with different AI configurations, easily enhancing your machine-learning projects.

Erin Mikail Staples
How to Switch AssemblyAI Speech-to-Text Model Tiers by User Email With LaunchDarkly Feature Flags

Matt Makai
Introducing AI Model and AI Prompt Flags (GA)

Steve Zegalia
Announcing New LaunchDarkly Extensions for GitHub Copilot: AI-Powered Feature Management

Steve Zegalia
AI Development With LaunchDarkly: Release, Measure, and Iterate
Use LaunchDarkly to rapidly deliver generative AI (GenAI) functionality into your applications without compromising safety.

Cody De Arkland
OpenAI, ChatGPT, and Lowering the Bar for “Code”
Imagine my surprise when I could feed ChatGPT prompts involving LaunchDarkly and frameworks/languages I commonly use (like Python, Flask, and React), and it returned pretty solid examples back!

Cody De Arkland
AI and Machine Learning in Test Automation

Matt DeLaney
Machine Learning for Log Monitoring

Matt DeLaney
