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Mistral AI released le Chat, a multilingual conversational assistant that lets users interact with its Large, Small, or prototype Next models through a chat interface. The product offers both a free beta version and an enterprise option with self-deployment capabilities and customizable moderation controls. Users can now access Mistral's models without building their own systems, though the assistant cannot browse the internet and may provide outdated information.
Mistral released Mistral Large, a new language model available through its platform and Microsoft Azure, positioning it as the second-ranked model accessible via API after GPT-4. The model handles a 32K token context window, supports five languages natively, and includes function calling and JSON formatting capabilities for developers. The company simultaneously released Mistral Small, a lower-latency variant that outperforms its previous Mixtral 8x7B model while reducing computational costs.
Watermarking techniques are being developed to mark AI-generated content such as images, text, and audio in order to authenticate their origins and prevent non-consensual manipulation. Tools like IMATAG and Truepic embed imperceptible watermarks in images during or after generation, while text watermarking works by restricting or promoting certain tokens during language model output, and AudioSeal watermarks speech at frequencies imperceptible to human hearing. The adoption of these methods faces tradeoffs between making watermarking systems open to foster innovation versus keeping them closed to prevent malicious actors from learning how to remove or circumvent the watermarks.
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