For years, advancements in AI have followed a clear trajectory through pretraining scaling: larger models, more data, and greater computational resources lead to breakthrough capabilities. In the last 5 years, pretraining scaling has increased compute requirements at an incredible rate of 50M times. However, building more intelligent systems is no longer just about pretraining bigger models.
]]>The vast majority of the world’s data remains untapped, and enterprises are looking to generate value from this data by creating the next wave of generative AI applications that will make a transformative business impact. Retrieval-augmented generation (RAG) pipelines are a key part of this, enabling users to have conversations with large corpuses of data and turning manuals, policy documents…
]]>As of 3/18/25, NVIDIA Triton Inference Server is now NVIDIA Dynamo. Diffusion models are transforming creative workflows across industries. These models generate stunning images based on simple text or image inputs by iteratively shaping random noise into AI-generated art through denoising diffusion techniques. This can be applied to many enterprise use cases such as creating personalized…
]]>Large language model (LLM) applications are essential in enhancing productivity across industries through natural language. However, their effectiveness is often limited by the extent of their training data, resulting in poor performance when dealing with real-time events and new knowledge the LLM isn’t trained on. Retrieval-augmented generation (RAG) solves these problems.
]]>Join the NVIDIA Triton and NVIDIA TensorRT community to stay current on the latest product updates, bug fixes, content, best practices, and more. Every AI application needs a strong inference engine. Whether you’re deploying an image recognition service, intelligent virtual assistant, or a fraud detection application, a reliable inference server delivers fast, accurate…
]]>Speech AI can assist human agents in contact centers, power virtual assistants and digital avatars, generate live captioning in video conferencing, and much more. Under the hood, these voice-based technologies orchestrate a network of automatic speech recognition (ASR) and text-to-speech (TTS) pipelines to deliver intelligent, real-time responses. Sign up for the latest Data Science news.
]]>