Knowledge Grounded Text Generation With Training Data Cutoff Constraints

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 and training data awareness”

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-grounded text generation with learned facts”

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

Unique: Qwen2.5 incorporates significantly expanded knowledge through continued pre-training on diverse datasets; knowledge cutoff is more recent and broader than Qwen2, with improved factual accuracy in technical and domain-specific areas

vs others: More current knowledge than Llama 2 (trained on 2023 data); less current than GPT-4 (2024 cutoff) but comparable factual accuracy for pre-cutoff information; no real-time search unlike Bing Chat or Perplexity

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.

via “knowledge-grounded text generation with training data cutoff constraints”

Open Pretrained Transformers (OPT) by Facebook is a suite of decoder-only pre-trained transformers. [Announcement](https://ai.meta.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/).