Marktechpost

OCTOBER 18, 2024

As a result, the potential for real-time optimization of agentic systems could be improved, slowing their progress in real-world applications like code generation and software development. The lack of effective evaluation methods poses a serious problem for AI research and development.

Large Language Models 109

Large Language Models LLM Inference Engine AI Developer 109

Marktechpost

OCTOBER 18, 2024

These advanced models expand AI capabilities beyond text, allowing understanding and generation of content like images, audio, and video, signaling a significant leap in AI development. As conclusion the open-sourced Baichuan-Omni is a step toward developing a truly omni-modal LLM that encompasses all human senses.

Large Language Models 91

Large Language Models Inference Engine Natural Language Processing LLM 91

NVIDIA

APRIL 9, 2024

Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create Google DeepMind’s most capable model yet, Gemini — with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference, when running on NVIDIA GPUs.

AI Developer 135

AI Developer AI Development Inference Engine Generative AI 135

Unite.AI

SEPTEMBER 24, 2024

NVIDIA Inference Microservices (NIM) and LangChain are two cutting-edge technologies that meet these needs, offering a comprehensive solution for deploying AI in real-world environments. Understanding NVIDIA NIM NVIDIA NIM, or NVIDIA Inference Microservices, is simplifying the process of deploying AI models.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Unite.AI

JUNE 21, 2024

Accelerating LLM Inference with NVIDIA TensorRT While GPUs have been instrumental in training LLMs, efficient inference is equally crucial for deploying these models in production environments. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Marktechpost

OCTOBER 21, 2024

Some researchers highlighted that AI should have “normative competence,” meaning the ability to understand and adjust to diverse norms, promoting safety pluralism. The adapted strategy first produces an LLM that is easily controllable for safety. If you like our work, you will love our newsletter.

Large Language Models 57

Large Language Models Inference Engine AI AI 57

Unite.AI

APRIL 24, 2024

Could you discuss what is developer centric AI and why this is so important? It’s simple: “developer-centric” means prioritizing the needs of AI developers. For example: creating tools, communities and processes that make developers more efficient and autonomous.

AI 130

AI AI OpenAI Inference Engine 130