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Boost your testing efficiency:. From intelligent test creation to effortless bug reproduction, KaneAI is designed to enhance your quality engineering processes. Reduce overhead and test faster:

Smart test planning:. KaneAI automatically generates and automates test steps based on your objectives. Effortlessly manage and plan your tests like never before. And many more features,

Multi-language support:. Export your automated tests across all major languages and frameworks. KaneAI adapts to your tech stack, making integration seamless.

Effortless test creation with AI:. KaneAI enables intelligent test generation using Natural Language. Create and evolve complex test cases with ease. Say goodbye to manual scripting. Ready to speed up your QA process?

Introducing KaneAI by @lambdatesting: 🚀. The first-of-its-kind AI Test Assistant. Transform your software testing with AI-driven test authoring, management, and debugging. #KaneAI #LambdaTestYourApps. It makes test automation effortless. Explore more:

I was offline for a while, but here is my little career update. Excited to tell you all that I have joined Coditas as an Associate Software Developer 🥳. Eager to develop more and contribute to the tech community!.Thank you all for your support 💙

Wishing you all a Diwali filled with success and joy! 🪔🎉

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To learn more, check out:. PaLM 2: Duet AI: Vertex AI:

PaLM 2 is an improvement over previous state-of-the-art language models and is implemented in generative AI tools like Duet AI and Vertex AI performing various NLP tasks.

→ Example - PaLM 2. A model developed by Google. It excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency, and natural language generation.

→ Benefits. It is flexible and can be trained to perform various tasks. Mainly used for:.• Text/Image Generation.• Summarization.• Machine Translation.• Creating Chatbots.• Generating Code.• Do any questions answering.• And, many more tasks!.

→ Introduction. LLMs refer to Large Language Models. They are statistical language models trained on massive amounts of data. They are based on deep learning architectures like Transformer, which Google developed in 2017.

What are LLMs? What is their significance in AI?. Let's learn easily with this 🧵

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11. State Management: . As applications become more complex, state management solutions like Redux or the built-in Context API helps to manage global application state.

10. Routing:. For single-page applications, there might be a need of routing solution. Libraries like React Router enable navigation and routing in React applications.

9. Forms: . In React, you can create controlled components to manage form elements and their state.

8. Lists & Keys: . Provides methods for mapping over arrays and rendering lists of data efficiently. Keys are essential for React to track individual elements within a list.