Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
Ternary quantization has emerged as a powerful technique for reducing both computational and memory footprint of large language models (LLM), enabling efficient real-time inference deployment without ...
This project reimagines AI agents not just as autonomous problem-solvers but as effective collaborators. It introduces a theory-grounded approach to design and evaluate Large Language Model agents for ...
Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...
As navigation evolves from static maps to a “mission control” layer for electric vehicles, Level 2+ (L2+) driver assistance and software‑defined vehicles, HERE Technologies is rebuilding location ...
Wilson Chan is the Founder and CEO of Permutable AI, a London-based company specialising in real-time global data and sentiment intelligence for financial institutions. With a background in AI, ...
Hi, thanks for the great work on this project! I would like to ask whether VERL currently supports customizing or extending the LLM architecture during training. For example, if I want to add a point ...
The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...
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