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August, 28th at AWS - Applied Generative AI: beyond ChatGPT

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August, 28th at AWS -  Applied Generative AI: beyond ChatGPT

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This event will focus on use cases beyond text.
Agenda:
๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ฒ๐—ฟ ๐Ÿญ) ๐—ฃ๐—ฟ๐—ฒ๐—บ
๐—ง๐—ถ๐˜๐—น๐—ฒ: โ€œSmall Language Models: Compact Design for Big Impact"
๐—”๐—ฏ๐˜€๐˜๐—ฟ๐—ฎ๐—ฐ๐˜ The talk will be centered on how smaller, efficient language models transform natural language processing by providing powerful capabilities with lower computational requirements.

๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ฒ๐—ฟ ๐Ÿฎ) ๐—”๐—ช๐—ฆ
๐—ง๐—ถ๐˜๐—น๐—ฒ: Unleash Your Inner Hero with Lightning-Fast Generative AI Avatar Creation
๐—”๐—ฏ๐˜€๐˜๐—ฟ๐—ฎ๐—ฐ๐˜ Discover an innovative digital avatar solution and beyond using Generative AI and AWS services. Weโ€™ll showcase advanced Stable Diffusion workflows with ComfyUI and an end-to-end stack deployable via CDK. Features include open-source ComfyUI, selfie upload with Amazon Bedrock descriptions, preset themes, customization options, Amazon Rekognition for moderation and face detection, 4-7 second generation time, and gallery sharing.

๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ฒ๐—ฟ ๐Ÿฏ) ๐——๐˜‚๐—ฒ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€
๐—ง๐—ถ๐˜๐—น๐—ฒ: Assistants and Multimodality: text is only the beginning
๐—”๐—ฏ๐˜€๐˜๐—ฟ๐—ฎ๐—ฐ๐˜ Tired of seeing the usual RAG applications? It is often stated that GenAI will affect every aspect of society, but how? In this talk, we'll explore use cases that leverage text, audio, and video across different industries, ranging from museums to hospitality, from education to advertising with famous influencers and actors. Here, you'll catch a glimpse of what is going to come.

Here's a snapshot of what you can expect from this meetup series:
โ€ข Great speakers talking about real-world projects.
โ€ข Exploring innovative use cases and products driven by Multimodal LLMs.
โ€ข Open-Source vs Closed models API
โ€ข Understanding data engineering and NLP pipelines optimized for LLMs
โ€ข Learning about LLMOps (DevOps for LLMs) and how to scale LLMs in a production environment
โ€ข Discussing ways to address LLM limitations and establishing guidelines for responsible AI
โ€ข Delving into ethical considerations, privacy, and security in GenAI applications
โ€ข Reviewing tools, platforms, and techniques
โ€ข Unpacking the process of fine-tuning, prompt engineering, and knowledge distillation for LLMs
โ€ข Identifying emerging trends and research directions in the LLM landscape
Join us to learn, share, and network in the GenAI field!

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