Low-code and no-code environments are rapidly becoming a trend for rapid AI development and deployment. They have transformed the way enterprises approach software development and automation. In this article, we will explore some of the best low code or no code platforms, the implementation areas, the challenges, the answers for some…
As per the March 2025 survey report, Large Language Models are backing over 65% of AI implementation initiatives and enabling enterprises with automation, content generation, and advanced decision-making. But we cannot ignore the notable concern is the selection of appropriate LLMs for specific use cases. In 2025, reports indicate that 46%…
In recent times, the AI landscape is witnessing a significant shake-up with the emergence of DeepSeek. Enterprises are rigorously comparing this Chinese-developed AI model with OpenAI’s GPT-4. While DeepSeek has demonstrated impressive capabilities at a fraction of the cost of its Western counterparts, concerns around data security, geopolitical implications, and model…
What is Latent Dirichlet Allocation or LDA? Latent Dirichlet Allocation (LDA) is a generative probabilistic model used primarily for topic modeling in natural language processing (NLP). It assumes that documents in a corpus consist of multiple latent topics. And each topic is represented as a distribution over words. LDA enables the…
According to a recent report by the Wall Street Journal, around 80% of enterprises use Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots in their operations. The same has been confirmed by Gartner. As the adoption of these AI technologies accelerates, robust testing frameworks have become indispensable for ensuring accuracy,…
Reasoning is critical for problem solving, decision making and in general for human intelligence. There have been various claims of reasoning abilities of LLM. Typically these claims are based on few anecdotal examples, followed by by some broad brush conclusions. There have several papers debunking such claims, demonstrating how LLM fails for…
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