Systems | Development | Analytics | API | Testing

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astera

Everything You Need to Know about RAG

Oct 16, 2024 By Mariam Anwar In Astera
Retrieval-augmented generation (RAG) is gaining traction, and for good reason. As businesses and AI experts search for more intelligent ways to process information, RAG combines the best of both worlds, i.e., the vast knowledge of retrieval systems and the creative power of generation models. But what exactly is RAG, and why is everyone talking about it?
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Why Real-Time Data is Crucial to Developing Generative AI Models

Oct 16, 2024 By Confluent In Confluent
Learn how GEP, an AI-powered supply chain and procurement company, harnesses real-time data streaming through Confluent Cloud to fuel its generative AI solutions. With seamless integration into Azure OpenAI services and GPT models, GEP’s generative AI chatbot delivers document summaries and risk management insights to its customers.
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countly

Getting Started with Countly's Desktop SDK Integrations

Oct 16, 2024 By Ali Kat In Countly
In an era dominated by mobile apps, desktop applications remain vital across numerous industries. From gaming to enterprise solutions, tracking desktop app performance, user behavior, and feedback is crucial. While mobile tracking is a well-established practice, companies also need to pay more attention to the importance of desktop tracking. Despite the importance of desktop applications, many analytics platforms remain heavily focused on mobile tracking.
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kong

Insomnia 10.1 Adds New Collection Runner CLI, In-App Invites, and More

Oct 16, 2024 By Marco Palladino In Kong
As a follow-up to our recent Kong Insomnia v10 release that shipped with an unlimited and free Collection Runner and one week after announcing our official SCIM support for automated user provisioning, we're now excited to announce Insomnia v10.1. This release ships with the general availability of the CLI to use the Collection Runner with CI/CD automation, a new in-app invite wizard that simplifies working with collaborators, and many other improvements.
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Building Reliable Software Systems with DoorDash's Saurabh Shanbhag

Oct 16, 2024 By Sauce Labs In Sauce Labs
How do you ensure your software system is reliable from design to deployment? In this episode of Test Case Scenario, Jason Baum and Evelyn Coleman sit down with Saurabh Shanbhag, Software Engineer at DoorDash, to discuss the best approaches for preventing bugs and building reliable systems. Saurabh draws on his experience from Amazon, Uber, and DoorDash to explain how teams can focus on strong initial design, thorough testing, and smart monitoring to keep systems running smoothly.
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dreamfactory

gRPC vs. REST: Key Similarities and Differences

Oct 16, 2024 By Jeremy H In DreamFactory
If you’re at all familiar with APIs, you know that REST APIs are the main API used, particularly when it comes to microservices and their applications. gRPC is a high-performance, binary, and strongly-typed protocol using HTTP/2, while REST is a simpler, text-based, and stateless protocol using HTTP with JSON/XML.
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alphabin

The Impact of AI and Machine Learning In Quality Assurance

Oct 16, 2024 By Pratik Patel In Alphabin
Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment. However, for software testers, these changes should be seen as a chance to improve rather than a threat.
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astera

Generative AI: The New Age of Document Processing

Oct 16, 2024 By Ammar Ali In Astera
What do you think of when you think of generative AI? Generating photos, animations, and videos? Coding and solving math problems? Writing content and brainstorming with a chatbot? These have all driven plenty of excitement around AI, but there’s so much more to it than that! From an enterprise perspective, Generative AI’s impact on intelligent document processing technology is remarkable.
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Overcoming Test Automation Pitfalls: Lessons from Real-World Failures

Oct 16, 2024 By Katalon In Katalon
In today’s fast-paced software development world, automation promises speed, efficiency, and accuracy. However, teams often face several obstacles as they move towards building a successful test automation practice. From choosing the right tools to maintaining scalability, the path can be filled with costly pitfalls if not navigated strategically. In this thought leader discussion, industry veterans Ravi and Ram share insights from decades of experience, covering real-world examples of test automation gone wrong and offering expert advice on how to overcome these challenges.
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How Confluent Fuels Gen AI Chat Models with Real-Time Data

Oct 16, 2024 By Confluent In Confluent
Discover how GEP, an AI-powered procurement company, utilized Confluent's data streaming platform to transform its generative AI capabilities. Integrating real-time data into their AI models enabled GEP to provide a contextual chat-based service. This chatbot allowed GEP customers to build their own tools simply by communicating in English with a chatbot.
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