Knowledge Cutoff And Training Data Awareness

via “knowledge cutoff awareness and temporal reasoning”

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

Unique: Knowledge cutoff awareness is trained into the model through RLHF on examples where the model learns to indicate uncertainty about information near the cutoff boundary

vs others: More honest about limitations than models that hallucinate current information; enables better integration with external data sources because the model can explicitly indicate when information is needed

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

Unique: OpenAI's transparent knowledge cutoff date with explicit training on acknowledging limitations, enabling graceful degradation when queried about out-of-distribution information rather than hallucinating recent events

vs others: More transparent about knowledge limitations than some competitors, with better reasoning about recent events when provided context than models without explicit training on knowledge cutoff awareness

via “knowledge cutoff-aware response generation with uncertainty signaling”

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

Unique: Trained with explicit examples of knowledge cutoff acknowledgment, enabling the model to signal uncertainty about recent information rather than confidently hallucinating, whereas earlier GPT-4 versions would often generate false information about current events

vs others: More transparent about knowledge limitations than GPT-4 base, but less current than Claude 3 (which has a later training cutoff); requires external data integration for real-time information unlike web-search-enabled models

via “knowledge cutoff-aware reasoning with temporal grounding”

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.

Unique: Explicitly trained to recognize and communicate knowledge cutoff boundaries, rather than silently hallucinating about post-cutoff events. This transparency enables developers to build systems that gracefully degrade to external sources when needed.

vs others: More transparent about limitations than GPT-3.5, which often hallucinated about recent events without acknowledging uncertainty; less useful than Claude 3 Opus (trained to April 2024) for applications requiring current information, but better for applications that need explicit cutoff awareness.