Crafting production-grade GenAI applications
Join Ajinkya Malasane, senior director, product strategy and marketing for TELUS Digital (formerly TELUS International), and Vikram Chatterji, co-founder and CEO of Galileo, a generative AI (GenAI) evaluation company, as they provide efficient and effective ways to solve key GenAI project blockers for easier deployments.
The post-training technology stack and processes are becoming pivotal to building effective and differentiated GenAI applications. Developers face many blockers for large language model fine-tuning and evaluation such as how to source high-quality datasets for fine-tuning, how to determine the best methods for evaluating model accuracy and how to ensure ongoing model monitoring consistency.
In this video, the speakers ease the load of your GenAI stack by providing insights on both automated and human-powered solutions to tackle key challenges associated with generative AI projects. Regardless of where you’re at in your GenAI journey, these guidelines can help smooth the way.
Key takeaways from the video
How to source the highest-quality datasets for supervised fine-tuning, reinforcement learning from human feedback and RAG through access to a diverse workforce and a platform that can make the process easier and more efficient. - Critical evaluation techniques for benchmarking the accuracy of your model across the AI workflow (from development to production).
- The best ways to ensure consistent, continuous application monitoring, including alerts for hallucinations, security and privacy, anomaly and drift detection, and debugging and root-cause analysis.
Featured speakers
Ajinkya Malasane
Ajinkya is an accomplished leader with a rich background in technology and business. He holds a degree in engineering from the Indian Institute of Technology and began his career in product management at Flipkart (acquired by Walmart). Ajinkya co-founded Playment, a tech-led AI data labeling start-up acquired by TELUS Digital.
With expertise across AI domains, from supervised learning to transfer learning to generative AI, Ajinkya has been driving innovation and integrating AI into various business workflows. His leadership at TELUS Digital exemplifies a commitment to pioneering AI adoption and leveraging its potential for business growth.
Vikram Chatterji
Vikram is the co-founder of Galileo, provider of a leading GenAI evaluation platform and evaluation foundation models used by enterprises such as Fortune 10 banks, Fortune 50 telcos, Fortune 50 consumer packaged goods brands and dozens of others. Galileo is backed by Battery Ventures and other leading investors.
Prior to Galileo, Vikram led product management at Google AI, where his team built language model powered applications for the Fortune 2000 across telcos, retail, financial services, healthcare and contact centers.
He has a Masters degree from the school of computer science at Carnegie Mellon University, and an undergraduate degree in human computer interaction from the Indian Institute of Technology.
Simplify the GenAI deployment process
Access the webinar to uncover key practices to ease the complex decision-making process inherent to building and deploying GenAI applications.
