You would think transfer learning is very straightforward and simple. Alas, why not, you just initialize weights from a proven NN which solved a different, but similar enough problem. Simple enough. Right? Yes,
AI topics spanning across fine-tuning, inference, optimisations, cutting-edge trends, LLMs, breakthroughs, and practical applications.
In a fast-paced development environment, we often encounter various types of blocking dependencies within or between teams. One such dependency is getting the backend APIs ready to be integrated into consumer interfaces and
OpenAI and similar services have democratized access to AI, making it more accessible to everyone without worrying too much about the technical complexities of hosting and serving. On the other hand, newer and
In today’s world, vast amounts of data are being generated and consumed online & having smart search functionality is a must. Traditional search techniques are keyword-based solutions and have limitations. Specialized search
LLMs (Large Language Models) have revolutionized the technology world over the past few years. All these LLMs are available in different configurations, some need high-end GPU instances while others can be used on
Artificial Intelligence (AI) has witnessed a surge in popularity across websites as businesses and individuals recognize its immense potential. One of the prominent applications of AI in websites is semantic search, which revolutionizes
While working as a manual tester, I encountered a significant challenge in the realm of web application testing. The manual Smoke and Regression test cases proved to be a time-consuming and repetitive task