Search Results for "llm"
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.
The Impact of AI and LLMs on the Future of Cybersecurity
An exploration into the transformative potential of generative AI and LLMs in the cybersecurity realm.
Enhancing LLM Application Safety with LangChain Templates and NVIDIA NeMo Guardrails
Learn how LangChain Templates and NVIDIA NeMo Guardrails enhance LLM application safety.
IBM Introduces Efficient LLM Benchmarking Method, Cutting Compute Costs by 99%
IBM's new benchmarking method drastically reduces costs and time for evaluating LLMs.
IBM and Red Hat Introduce InstructLab for Collaborative LLM Customization
IBM and Red Hat launch InstructLab, enabling collaborative LLM customization without full retraining.
NVIDIA Launches Nemotron-4 340B for Synthetic Data Generation in AI Training
NVIDIA unveils Nemotron-4 340B, an open synthetic data generation pipeline optimized for large language models.
Character.AI Enhances AI Inference Efficiency, Reduces Costs by 33X
Character.AI announces significant breakthroughs in AI inference technology, reducing serving costs by 33 times since launch, making LLMs more scalable and cost-effective.
IBM Research Unveils Cost-Effective AI Inferencing with Speculative Decoding
IBM Research has developed a speculative decoding technique combined with paged attention to significantly enhance the cost performance of large language model (LLM) inferencing.
LangChain Introduces Self-Improving Evaluators for LLM-as-a-Judge
LangChain's new self-improving evaluators for LLM-as-a-Judge aim to align AI outputs with human preferences, leveraging few-shot learning and user feedback.
Ensuring Integrity: Secure LLM Tokenizers Against Potential Threats
NVIDIA's AI Red Team highlights the risks and mitigation strategies for securing LLM tokenizers to maintain application integrity and prevent exploitation.
Understanding the Role and Capabilities of AI Agents
Explore the concept of AI agents, their varying degrees of autonomy, and the importance of agentic behavior in LLM applications, according to LangChain Blog.
WordSmith Enhances Legal AI Operations with LangSmith Integration
WordSmith leverages LangSmith for prototyping, debugging, and evaluating LLM performance, enhancing operations for in-house legal teams.