AI-360

OpenAI's new Rule-Based Rewards method improves AI safety without extensive human data collection. It uses simple rules to evaluate outputs, balancing helpfulness and safety in AI models.

Mistral Large 2, a new AI model, handles 128,000 words of context and many languages. It's better at coding, math, and reasoning, with less incorrect information.

Meta releases Llama 3.1: 128K context, 8 languages, 405B model. New safety tools: Llama Guard 3, Prompt Guard, CyberSecEval 3. Open-source approach.

Meta's Llama 3.1: 405B parameter open-source AI model. 128K token context, 8 languages. New safety tools: Llama Guard 3, Prompt Guard, CyberSecEval 3.

NVIDIA launches four NeMo Retriever NIM microservices to improve LLM accuracy and performance. These tools enable efficient retrieval-augmented generation, connecting models to business data. They offer 30% fewer inaccurate answers in enterprise applications and integrate with various platforms.

NVIDIA's new NeMo Retriever microservices improve AI accuracy by efficiently fetching relevant business data. They reduce inaccurate answers by 30% in enterprise settings.