Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...
Use any model and build agents in pure Python. Full control. Zero magic. LitAI is an LLM router (OpenAI format) and minimal agent framework. Chat with any model (ChatGPT, Anthropic, etc) in one line ...
Abstract: Using LLMs in a production environment presents security challenges that include vulnerabilities to jailbreaks and prompt injections, which can result in harmful outputs for humans or the ...
Abstract: This paper proposes a Visual-Speech-Text Large Language Model framework for Human-Robot Interaction (VSTLLM HRI). By designing a Modality Language Model (MLM), the framework achieves a ...
Automatic Service Generation: FlowLLM automatically generates HTTP, MCP, and CMD services. The HTTP service provides RESTful APIs with synchronous JSON and HTTP Stream responses. The MCP service ...
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