E140: Accelerating Enterprise AI Adoption with Better Agentic Workflows
Jul 1, 2024
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Mark Huang, Co-Founder of Gradient AI, discusses enterprise readiness for LLM-backed applications, open sourcing their Llama-3 finetune model, focus on healthcare and finance, and navigating GenAI infra space.
Gradient AI focuses on improving AI integration into existing workflows to enhance business processes.
Balancing open source and proprietary AI models, Gradient AI aims to democratize value while serving enterprise clients with specialized solutions.
Deep dives
Origin of Gradient AI
Mark Quang, the co-founder of Gradient AI, shares the inspiration behind starting the company. With a background in machine learning and financial services, Mark identified a gap in connecting AI with existing workflows. He observed the repetitive rebuilding of workflows with each new initiative, leading to the realization that AI could enhance business processes.
Journey of Product Development
The evolution of Gradient AI's product from the initial concept to its current form highlights key learnings and transitions. Initially targeting analytics teams, the focus shifted to enhancing AI and analytics within workflows. The company streamlined its product to cater to business problems and automation, emphasizing the importance of resonating with users for successful adoption.
User Engagement and Enterprise Sales
Gradient AI's engagement with users transitioned from business to technical users, reflecting a shift in targeting audience and content. The company's enterprise sales process involves engaging with C-suite leaders and engineering teams to create resonating use cases. By aligning the product to solve common business problems, Gradient AI focuses on creating seamless technological innovations for both C-suite executives and developers.
Open Source Models and Enterprise Offerings
Gradient AI's approach towards open source models, like extending the context length for Llama 3, serves as a community-focused initiative. Contrasting the open source models with proprietary domain-specific models for finance and healthcare, the company aims to democratize value for the community while offering specialized, supported models for enterprise clients. The strategic balance between open source and proprietary models aligns with the company's mission to deliver value through innovative AI solutions.
Mark Huang is Co-Founder of Gradient, the platform for enterprise agentic automation. Gradient recently open sourced their 4M context window finetune of Llama-3, which is the longest context window available today.
Gradient has raised $10M from investors including Wing VC, Mango Capital, and Tokyo Black.
In this episode, we dig into enterprise readiness for LLM-backed applications today, Gradient's approach to pushing context lengths for foundation models and the benefits to open sourcing their Llama-3 finetune model, their focus on healthcare and finance verticals, how they're finding their place in the noisy GenAI infra space & more!
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