According to ElevenLabs on Twitter, businesses can now deploy chat-based AI agents within minutes using ElevenLabs' SDKs, APIs, a single line of HTML, or by enabling Chat Mode on existing ElevenLabs Agents. This streamlined deployment process reduces technical barriers for companies seeking to integrate conversational AI solutions into their platforms, enabling rapid customer support automation and enhancing user engagement. The solution is designed for scalability and ease of use, opening new opportunities for enterprises to leverage advanced AI-driven chat experiences in various industries (Source: @elevenlabsio on Twitter).

According to ElevenLabs (@elevenlabsio), the company has introduced a new Chat Mode feature that allows businesses to build AI-powered text-only conversational agents. This update is designed for users who prefer typing over speaking, enables accurate data entry such as order IDs or email addresses, and streamlines simple customer service tasks before seamlessly handing off complex issues to voice agents. This innovation opens new business opportunities for companies seeking to optimize customer engagement and automate support workflows with AI-driven chat solutions. Source: ElevenLabs Twitter (August 19, 2025).

According to @OriolVinyalsML, the foundational paper 'A Neural Conversational Model' (arxiv.org/abs/1506.05869) co-authored with @quocleix, demonstrated that a chatbot could be trained using a large neural network with around 500 million parameters. Despite its initial mixed reviews, this research paved the way for the current surge in large language models (LLMs) that power today’s AI chatbots and virtual assistants. The model's approach to end-to-end conversation using deep learning set the stage for scalable, data-driven conversational AI, enabling practical business applications such as customer support automation and intelligent virtual agents. As more companies adopt LLMs for enterprise solutions, the paper’s long-term influence highlights significant business opportunities in AI-driven customer engagement and automation (Source: @OriolVinyalsML, arxiv.org/abs/1506.05869).