Published first as a whitepaper in late 2024, the 2025 OWASP Top 10 for LLM Applications is yet another monumental effort from OWASP made possible by a large number of experts in the fields of AI, ...

This will enrich the dataset and improve fine-tuning for language learning models (LLMs). We present several examples that highlight the proficiency of our Macaw-LLM in understanding and following ...

DeepSeek's R1 model release and OpenAI's new Deep Research product will push companies to use techniques like distillation, supervised fine-tuning (SFT), reinforcement learning (RL), and ...

We’ll leveRAGe the open-source BioMistral LLM and LangChain’s flexible data orchestration capabilities to process PDF documents into manageable text chunks. We’ll then encode these chunks using ...

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

TensorRT-LLM builds TensorRT engine(s) using a HF checkpoint. If no checkpoint directory is specified, TensorRT-LLM will build engine(s) using dummy weights. The examples below uses the NVIDIA AMMO ...

近年来，大型语言模型（LLMs）在诸如安全对齐、指令微调等领域均取得了卓越表现。然而，在对这些模型进行持续训练时，人们经常观察到旧任务性能的骤降。传统观点往往将其归结为灾难性遗忘。但我们的最新研究发现，这种表观遗忘实际上是一种虚假遗忘——在大多数情况 ...

Every technological revolution has a defining moment when a specific use case propels the technology into widespread adoption. That time has come for generative AI (GenAI) with the rapid spread of ...

Tokenization is the first step toward transforming text into machine-friendly units. Karpathy touches on widely used ...

How cybercriminals can exploit agentic AI technology for malicious purposes to launch social engineering attacks.

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