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Decoding Generative AI with LLM and LVM

Generative AI is reshaping how we code, create art, and communicate, with Large Language Models (LLMs) and Language Vision Models (LVMs) leading the way.

Examples of LLMs:

Chat GPT: OpenAI’s linguistic powerhouse simplifies coding and brings dynamism to AI-driven conversations.
Copilot: Microsoft’s gem turns developers into efficient AI collaborators for coding adventures.
Bard AI: Google’s maestro transforms language into an artistic canvas for creative expression.

Examples of LVMs:

Adobe Firefly: Elevates digital artistry with visual prompts and creative sparks.
DALL-E: Generates imaginative images based on textual descriptions, unlocking boundless creativity.
Adobe’s Firefly: Revolutionizes digital art, exploring uncharted territories of creativity.

2024: The Era of On-device Generative AI

Qualcomm’s latest Snapdragon 8 Gen 3 SoC integrates an AI Engine, placing AI capabilities directly into personal devices.

Benefits of On-device Generative AI:

Privacy On-Demand: Localized data storage enhances efficiency while addressing privacy concerns.
More Personalized Experience: Smartphones offer tailored experiences across various use cases.
Applications of On-device Generative AI:

Personalization for Enthusiasts: Tailored experiences for artists, music enthusiasts, and photography lovers.
Vast and Diverse Potential: Applications across various domains herald a new era in personal devices.

Reshaping the Landscape:

Generative AI is poised to reshape the landscape of personal devices, ensuring privacy and functionality go hand in hand.

Rohit Arora

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