The Rise of Safe AI: Witnessing a New Era of Innovation
The advent of Large Language Models (LLMs) has revolutionized the way we approach innovation across various business functions. However, the lack of governance and security measures has hindered the widespread adoption of AI technology. A recent survey revealed that only 9% of enterprises have deployed AI widely, citing privacy and governance issues as major barriers. WitnessAI, a pioneer in AI enablement, has raised $27.5 million in Series A funding to address these challenges and enable safe AI use within the enterprise.
“Building a safe AI enablement platform that works at enterprise scale requires a purpose-built team with expertise in AI and ML, red and blue teaming, and web-scale platform deployment.” - Rick Caccia, WitnessAI CEO
The WitnessAI Secure AI Enablement Platform is designed to provide observability, policy enforcement, and protection of employee, customer, and enterprise data. The platform’s modular architecture ensures that it can be deployed in the most demanding environments, including global organizations and across clouds.
Small but Mighty: The Rise of Small Language Models
The launch of LLMs has had a profound impact on our world. However, as we continue to push the boundaries of AI innovation, it’s essential to recognize the importance of smaller language models. These models, though smaller in scale, have the potential to drive significant impact in various industries.
Generalizable Audio AI: Unlocking the Power of SpeechVerse
A recent paper by Amazon AWS AI Labs introduces SpeechVerse, a robust multi-task framework that leverages supervised instruction fine-tuning to achieve strong performance across various speech tasks. The proposed multimodal model architecture comprises three main components: a pre-trained audio encoder, a 1-D convolution module, and a pre-trained LLM. The researchers have developed three variants of multimodal models using the SpeechVerse framework, outperforming conventional baselines on 9 out of 11 tasks.
SpeechVerse Architecture
The Future of AI: Safe, Effective, and Generalizable
As we move forward in the AI era, it’s crucial to prioritize safety, effectiveness, and generalizability in AI development. WitnessAI’s innovative approach to AI enablement and the rise of smaller language models are testaments to the progress we’re making in this direction. The SpeechVerse framework, with its robust multimodal architecture, is another significant step towards achieving AI that can adapt to new tasks and domains.
AI Innovation
In conclusion, the future of AI is bright, and it’s essential to address the challenges that hinder its widespread adoption. By prioritizing safety, effectiveness, and generalizability, we can unlock the true potential of AI and drive innovation across various industries.
