A recent paper published in the journal Engineering delves into the future of artificial intelligence (AI) beyond large language models (LLMs). LLMs have made remarkable progress in multimodal tasks, ...

Enterprise deployment of Generative AI depends on the seamless optimisation of hardware and software, driving higher performance at lower cost.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls. The ...

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An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.

India’s AI ecosystem has been on a steady growth in the last few years. Both public initiatives and private startups are working in this stream. From the early days of experimentation and scattered ...