Search Results for "llm"
NVIDIA NeMo Curator Enhances Non-English Dataset Preparation for LLM Training
NVIDIA NeMo Curator simplifies the curation of high-quality non-English datasets for LLM training, ensuring better model accuracy and reliability.
NVIDIA NeMo Enhances Customization of Large Language Models for Enterprises
NVIDIA NeMo enables enterprises to customize large language models for domain-specific needs, enhancing deployment efficiency and performance.
NVIDIA NeMo Enhances LLM Capabilities with Hybrid State Space Model Integration
NVIDIA NeMo introduces support for hybrid state space models, significantly enhancing the efficiency and capabilities of large language models.
Oracle Introduces In-Database LLMs and Automated Vector Store with HeatWave GenAI
Oracle's HeatWave GenAI now offers in-database LLMs and an automated vector store, enabling generative AI applications without AI expertise or additional costs.
NVIDIA H100 GPUs and TensorRT-LLM Achieve Breakthrough Performance for Mixtral 8x7B
NVIDIA's H100 Tensor Core GPUs and TensorRT-LLM software demonstrate record-breaking performance for the Mixtral 8x7B model, leveraging FP8 precision.
LangChain: Understanding Cognitive Architecture in AI Systems
Explore the concept of cognitive architecture in AI, outlining various levels of autonomy and their applications in LLM-driven systems.
AssemblyAI Enhances Speech AI Capabilities with LLM Integrations
AssemblyAI introduces new features and integrations with LangChain, LlamaIndex, and Twilio to enhance speech AI applications using Large Language Models (LLMs).
NVIDIA NIM Enhances Multilingual LLM Deployment
NVIDIA NIM introduces support for multilingual large language models, improving global business communication and efficiency with LoRA-tuned adapters.
NVIDIA Explores Cyber Language Models to Enhance Cybersecurity
NVIDIA's research into cyber language models aims to address cybersecurity challenges by training models on raw cyber logs, enhancing threat detection and defense.
LangChain Enhances Core Tool Interfaces and Documentation
LangChain introduces key improvements to its core tool interfaces and documentation, simplifying tool integration, input handling, and error management.
Enhancing Agent Planning: Insights from LangChain
LangChain explores the limitations and future of planning for agents with LLMs, highlighting cognitive architectures and current fixes.
NVIDIA and Meta Collaborate on Advanced RAG Pipelines with Llama 3.1 and NeMo Retriever NIMs
NVIDIA and Meta introduce scalable agentic RAG pipelines with Llama 3.1 and NeMo Retriever NIMs, optimizing LLM performance and decision-making capabilities.