AI’s next phase prioritizes linguistic diversity, national sovereignty, and locally contextual intelligence over scale.

This has shifted the focus to long-term system design, integration and adaptability.​ McKinsey’s 2023 AI report states that ...

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, ...

The launch of ChatGPT in November 2022 marked the beginning of a new chapter in AI. Most of the industry’s attention had focused on the training of increasingly larger models to improve accuracy. The ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

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 ...

A new technical paper titled “Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors” was published by researchers at IBM. “The use of Large Language Models (LLMs) in ...

How important is brand perception? We sat down with Jellyfish's product director Frederic Derian and Victor Batista to discuss the rise of LLMs and what this means for advertisers. As chatbots assume ...