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Gupshup Launches Domain-Specific ACE Large Language Models

Gupshup Launches Domain-Specific ACE Large Language Models

Ace LLMs are built upon foundation models such as Meta’s Llama 2, OpenAI GPT-3.5 Turbo, Mosaic MPT, Flan T-5, and others

Gupshup Launches Domain-Specific ACE Large Language Models
Pritam Bordoloi·Published Updated

Key takeaways

  • Gupshup has launched ACE LLM, a series of domain-specific Large Language Models tailored for various industries and functions.
  • These models enhance conversational AI across customer interactions, improving experiences from product discovery to support.
  • ACE LLM is built on prominent foundation models and includes enterprise-grade safety features for reliable performance.
  • The models support over 100 languages and offer scalable deployment options for businesses with specific data residency needs.
  • Built-in guardrails ensure relevant responses while maintaining accuracy and compliance with company knowledge bases.
5 min

Conversational AI company Gupshup has announced the launch of ACE LLM, a family of domain-specific Large Language Models (LLMs) specialised for functions such as marketing, commerce, support, HR & IT, and industries like banking, retail, utilities and more.

Built upon foundation models such as Meta’s Llama 2, OpenAI GPT-3.5 Turbo, Mosaic MPT, Flan T-5, and others, ACE LLM has been meticulously adapted for specific industries and functions and is also equipped with enterprise-grade safety controls and guardrails.

The models empower enterprises to quickly and effectively transform conversational experiences across various stages of the customer lifecycle. From product discovery, lead generation, and commerce to troubleshooting and customer support, these models enable more precise, human-like interactions delivered with speed, scale, and compliance along with data governance, all while maintaining a lower total cost of ownership.

Available in 7 to 70 billion parameter sizes, ACE LLM generates text in 100+ languages such as Spanish, Portuguese, French, German, Bahasa, Arabic, Mandarin, Hindi, and English among other languages.

The built-in guardrails in ACE LLM eliminate irrelevant, out-of-context responses. When combined with a company’s knowledge base, the lift in accuracy levels and transparency make the output ready to handle dynamic user conversations. In addition, this unique LLM also supports enterprise-level controls for accuracy, source data boundaries, tone, auditing, teach mode for non-generative responses, automated testing, and analytics.  

ACE LLM is available in the Gupshup public cloud and offers deployment options with support for geo-specific data residency or enterprise private cloud (VPC) with high scalability.

“To harness the full power of foundation LLMs, enterprises need to fine-tune them for their domain requirements and add additional guardrails around security, compliance, and relevance, while also ensuring data residency and cost efficiency. Gupshup is excited to launch the ACE LLM family of domain models, which are custom-built to fill this gap, thereby enabling enterprises to transform their customer experiences," Beerud Sheth, CEO and co-founder of Gupshup, said.

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