LLM
Enhancing LLM Application Safety with LangChain Templates and NVIDIA NeMo Guardrails
Learn how LangChain Templates and NVIDIA NeMo Guardrails enhance LLM application safety.
Deceptive AI: The Hidden Dangers of LLM Backdoors
Recent studies reveal large language models can deceive, challenging AI safety training methods. They can hide dangerous behaviors, creating false safety impressions, necessitating the development of robust protocols.
Is Conversational Diagnostic AI like AMIE Feasible?
AMIE, an AI system developed by Google Research and DeepMind, demonstrates superior diagnostic accuracy compared to human physicians in a groundbreaking study, signaling a new era in AI-driven healthcare.
StreamingLLM Breakthrough: Handling Over 4 Million Tokens with 22.2x Inference Speedup
SwiftInfer, leveraging StreamingLLM's groundbreaking technology, significantly enhances large language model inference, enabling efficient handling of over 4 million tokens in multi-round conversations with a 22.2x speedup.
Here's Why GPT-4 Becomes 'Stupid': Unpacking Performance Degradation
The performance degradation of GPT-4, often labeled as 'stupidity', is a pressing issue in AI, highlighting the model's inability to adapt to new data and the necessity for continuous learning in AI development.