Search Results for "llm"
NVIDIA NIM Microservices Revolutionize Scientific Literature Reviews
NVIDIA's NIM microservices for LLMs are transforming the process of scientific literature reviews, offering enhanced speed and accuracy in information extraction and classification.
OpenEvals Simplifies LLM Evaluation Process for Developers
LangChain introduces OpenEvals and AgentEvals to streamline evaluation processes for large language models, offering pre-built tools and frameworks for developers.
NVIDIA Launches DriveOS LLM SDK for Autonomous Vehicle Innovation
NVIDIA introduces the DriveOS LLM SDK to facilitate the deployment of large language models in autonomous vehicles, enhancing AI-driven applications with optimized performance.
Ensuring AI Reliability: NVIDIA NeMo Guardrails Integrates Cleanlab's Trustworthy Language Model
NVIDIA's NeMo Guardrails, in collaboration with Cleanlab's Trustworthy Language Model, aims to enhance AI reliability by preventing hallucinations in AI-generated responses.
Understanding the Complexities of Agent Frameworks
Explore the intricacies of agent frameworks, their role in AI systems, and the challenges in ensuring reliable context for LLMs, as discussed in LangChain Blog.
LangSmith Introduces Real-Time Alerts for Enhanced LLM Monitoring
LangChain's LangSmith platform now offers real-time alerts, enabling developers to monitor LLM applications and agents more effectively, ensuring better user experiences by catching failures early.
Benchmarking NVIDIA NIM with GenAI-Perf: A Comprehensive Guide
Explore how NVIDIA's GenAI-Perf tool benchmarks Meta Llama 3 model performance, providing insights into optimizing LLM-based applications using NVIDIA NIM.
NVIDIA Unveils Nemotron-CC: A Trillion-Token Dataset for Enhanced LLM Training
NVIDIA introduces Nemotron-CC, a trillion-token dataset for large language models, integrated with NeMo Curator. This innovative pipeline optimizes data quality and quantity for superior AI model training.
Together Introduces Code Interpreter API for Seamless LLM Code Execution
Together.ai launches the Together Code Interpreter (TCI), an API enabling developers to execute LLM-generated code securely and efficiently, enhancing agentic workflows and reinforcement learning operations.
NVIDIA Dynamo Enhances Large-Scale AI Inference with llm-d Community
NVIDIA collaborates with the llm-d community to enhance open-source AI inference capabilities, leveraging its Dynamo platform for improved large-scale distributed inference.
NVIDIA NeMo Guardrails Enhance LLM Streaming for Safer AI Interactions
NVIDIA introduces NeMo Guardrails to enhance large language model (LLM) streaming, improving latency and safety for generative AI applications through real-time, token-by-token output validation.
Exploring LLM Agents and Their Role in AI Reasoning and Test Time Scaling
Discover the impact of large language model (LLM) agents on AI reasoning and test time scaling, highlighting their use in workflows and chatbots, according to NVIDIA.