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Speaker

Pratik Parmar

Pratik Parmar

Developer Relations Professional who's passionate about helping developer communities across the globe!

Vadodara, India

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Pratik is a code whisperer and passionate about tinkering with technologies. When he's not helping the developer communities, he can be found roaming around in the mountains.

Area of Expertise

  • Information & Communications Technology

Topics

  • Machine Learning
  • Artificial Inteligence
  • python
  • TensorFlow
  • scrapy
  • Community Building
  • Community Engagement

From Playground to Production: Scaling Your LLM App

Have you ever built a cool LLM project that you just know could change the world, but then got stuck when it came to scaling it up for production? You're not alone! This talk will be your fiery guide through the exciting, but often tricky, journey of taking your LLM project from a fun demo to a full-fledged production system.

We'll dive into the biggest challenges of engineering prompts for LLMs, like that pesky ambiguity of natural language and the inconsistency of LLM outputs that can leave you scratching your head. But fear not, we'll also explore battle-tested solutions to tame these beasts, like using few-shot learning to evaluate your prompts before you unleash them on the world.

Get ready to brainstorm alongside fellow LLM enthusiasts about the potential of these large language models to become the next generation of AI assistants and chatbots. So, buckle up and join us to turn those tiny sparks of LLM creativity into a roaring fire of production-ready applications!

Scaling Generative AI Apps: From Demo to Production

Building a Generative AI app for a small demo is one thing, but what happens when thousands of users are waiting? In this talk, we'll explore the challenges of creating and scaling GenAI apps, and how to overcome them. Learn from our experiences, successes, and setbacks as we navigate the journey from prototype to production-ready.

How to unleash your features in Production *without breaking it!

Discover how feature flagging empowers devs to release new features to specific users without breaking the production. Dive into controlling rollouts, A/B testing, and assessing the impact of changes.

Explore key facets of feature flagging:

- Project & Environment Management: Organize flags by projects and environments (dev, test, stage, prod) for tailored configurations and access controls.

- Variants & Strategies: Define rollout percentages, user targeting, and custom activation rules to optimize feature exposure.

- Metrics & Analytics: Track usage and performance with tools like Google Analytics, Amplitude, Mixpanel, Datadog, and Prometheus, measuring feature impact on business and user satisfaction.

- Integrations & Plugins: Streamline workflows by integrating feature flagging with tools like GitHub, Slack, Jira, Jenkins, Kubernetes, Terraform, and more. Collaborate effectively with your team and stakeholders.

Pratik Parmar

Developer Relations Professional who's passionate about helping developer communities across the globe!

Vadodara, India

Actions

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