Flagsmith Reviews

Bard AI Reviews

Flagsmith mentions (13)

• Why use Open Source Feature Flags?

  Considering all these points, the team at Flagsmith has developed a feature flag management platform Flagsmith and made it open source. The core functionality is open and you can check out the GitHub repository here. I have utilized and authored several blogs discussing their excellent offerings and strategies. - Source: dev.to / 2 months ago

• free-for.dev

  Flagsmith - Release features with confidence; manage feature flags across web, mobile, and server side applications. Use our hosted API, deploy to your own private cloud, or run on-premise. - Source: dev.to / over 1 year ago

• Which startups are made using Django?

  Flagsmith is written in Django and is open source as well: https://flagsmith.com. Source: almost 2 years ago

• The actual infrastructure costs of running SaaS at scale (billions of requests/month)

  Before we dive in, one important call-out: We provide our feature management product to customers in three ways depending on how they want to have it managed: Fully Managed SaaS API, Fully Managed Private Cloud SaaS API and Self-Hosted. The infrastructure costs that we are sharing is for our customers that leverage our Fully Managed SaaS API offering (try it free: https://flagsmith.com/) which represents a portion... - Source: dev.to / about 2 years ago

• The Story Behind Our Open Source Ecommerce Platform with +9,000 GH stars in 6 months

  On March 15th, Sebastian Rindom, the CEO & Co-founder of Medusa, did an interview with Flagsmith where he talked about how Medusa started, why create a headless commerce solution, why make it open-source, and more. - Source: dev.to / over 2 years ago

Bard AI mentions (112)

• Generating meaningful test data using Gemini

  In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects. - Source: dev.to / 7 days ago

• Exploring the Conversational AI Landscape: A Tour of Leading Platforms

  Gemini: Developed by Google, Gemini is a powerful conversational AI platform that leverages the tech giant's vast resources and expertise. With its cutting-edge algorithms and scalable infrastructure, Gemini enables businesses to build intelligent chatbots and virtual assistants that deliver seamless experiences across platforms. - Source: dev.to / about 2 months ago

• Agents of Change: Navigating the Rise of AI Agents in 2024

  Google AI Studio serves as a hub for integrating Google's advanced AI models, including the newly launched Gemini series. It offers a streamlined interface and features like the Gemini 1.5 model, which boasts a 1-million-token context window for handling complex datasets and queries efficiently. - Source: dev.to / about 2 months ago

• Sentiment Analysis with PubNub Functions and HuggingFace

  At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 3 months ago

• Stop Wasting Time on 'Community'

  Https://archive.md/gkMOo *In business. Summarized in one paragraph via: https://gemini.google.com. - Source: Hacker News / 3 months ago