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E140: Accelerating Enterprise AI Adoption with Better Agentic Workflows
Manage episode 426684818 series 3438596
Sisällön tarjoaa Robby & Tim (Essence VC) and Amp; Tim (Essence VC). Robby & Tim (Essence VC) and Amp; Tim (Essence VC) tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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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