large language models

Could Shopify be right in requiring teams to reveal why AI can’t do a job before approving recent human hires? Will corporations that prioritize AI solutions eventually evolve into AI entities with significantly fewer employees? These are...

Programmers can now use large language models (LLMs) to generate computer code...

mechanism is on the core of recent day transformers. But scaling the context window of those transformers was a significant challenge, and it still is despite the fact that we're within the era...

Jupyter AI brings generative AI capabilities right into the interface. Having an area AI assistant ensures privacy, reduces latency, and provides offline functionality, making it a strong tool for developers. In this text,...

Just because the dust begins to decide on DeepSeek, one other breakthrough from a Chinese startup has taken the web by storm. This time, it’s not a generative AI model, but a totally autonomous...

Introduction Many generative AI use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall wanting user expectations. Despite the growing body of research on RAG improvements and even adding Agents into the method,...

Artificial intelligence has made remarkable strides in recent times, with large language models (LLMs) leading in natural language understanding, reasoning, and artistic expression. Yet, despite their capabilities, these models still depend entirely on external...

Introduction In a YouTube video titled , former Senior Director of AI at Tesla, Andrej Karpathy discusses the psychology of Large Language Models (LLMs) as emergent cognitive effects of the training pipeline. This text is inspired by his...