10 open-source LLMs to know in 2024
Last year’s ChatGPT and Midjourney explosion, sparked a race for everyone to develop their own open source LLMs. From Hugging...
Monitor and track embeddings to ensure your LLMs drive value and avoid hallucinations.
Get live alerts directly in Slack, MS Teams, or email when your LLMs experience drift, bias, performance degradation, or data integrity issues.
Detect any anomalies that may impact the quality and reliability of your LLMs, allowing for swift fine-tuning.
Gain a centralized view of all your LLM use cases under a single hub. Track activity (API calls), hallucinations, inference trends, data behavior, and model performance to ensure high response time and accuracy.
Visualize your unstructured data with UMAP dimension reduction. Identify clusters to uncover patterns, detect embedding drift, perfect your prompts, and learn more about the hidden connections in your text.
Last year’s ChatGPT and Midjourney explosion, sparked a race for everyone to develop their own open source LLMs. From Hugging...
With all the greatness that AI promises, it remains vulnerable to several risks, including AI hallucinations, prompt attacks, and data...
As we step into a new era at Aporia, I’m thrilled to share the story behind our transition from being...